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Sketch-based cross-domain visual data retrieval is the process of searching for images or 3D models using sketches as input. Achieving feature alignment is a significantly challenging task due to the high heterogeneity of cross-domain data. However, the alignment process faces significant challenges, such as domain gap, semantic gap, and knowledge gap. The existing methods adopt different ideas for sketch-based image and 3D shape retrieval tasks, one is domain alignment, and the other is semantic alignment. Technically, both tasks verify the accuracy of extracted features. Hence, we propose a method based on the global feature correlation and the feature similarity for multiple sketch-based cross-domain retrieval tasks. Specifically, the data from various modalities are fed into separate feature extractors to generate original features. Then, these features are projected to the shared subspace. Finally, domain consistency learning, semantic consistency learning, feature correlation learning and feature similarity learning are performed jointly to make the projected features modality-invariance. We evaluate our method on multiple benchmark datasets. Where the MAP in Sketchy, TU-Berlin, SHREC 2013 and SHREC 2014 are 0.466, 0.473, 0.860 and 0.816. The extensive experimental results demonstrate the superiority and generalization of the proposed method, compared to the state-of-the-art approaches. The in-depth analyses of various design choices are also provided to gain insight into the effectiveness of the proposed method. The outcomes of this research contribute to advancing the field of sketch-based cross-domain visual data retrieval and are expected to be applied to a variety of applications that require efficient retrieval of cross-domain domain data. [ABSTRACT FROM AUTHOR]

Abstract Sketch-based cross-domain visual data retrieval is the process of searching for images or 3D models using sketches as input. Achieving feature alignment is a significantly challenging task due to the high heterogeneity of cross-domain data. However, the alignment process faces significant challenges, such as domain gap, semantic gap, and knowledge gap. The existing methods adopt different ideas for sketch-based image and 3D shape retrieval tasks, one is domain alignment, and the other is semantic alignment. Technically, both tasks verify the accuracy of extracted features. Hence, we propose a method based on the global feature correlation and the feature similarity for multiple sketch-based cross-domain retrieval tasks. Specifically, the data from various modalities are fed into separate feature extractors to generate original features. Then, these features are projected to the shared subspace. Finally, domain consistency learning, semantic consistency learning, feature correlation learning and feature similarity learning are performed jointly to make the projected features modality-invariance. We evaluate our method on multiple benchmark datasets. Where the MAP in Sketchy, TU-Berlin, SHREC 2013 and SHREC 2014 are 0.466, 0.473, 0.860 and 0.816. The extensive experimental results demonstrate the superiority and generalization of the proposed method, compared to the state-of-the-art approaches. The in-depth analyses of various design choices are also provided to gain insight into the effectiveness of the proposed method. The outcomes of this research contribute to advancing the field of sketch-based cross-domain visual data retrieval and are expected to be applied to a variety of applications that require efficient retrieval of cross-domain domain data.

Copyright of Journal of Computer-Aided Design & Computer Graphics / Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article underscores the unique characteristics of Krolevets woven towels, a cultural treasure long crafted in the artistic weaving centers of Krolevets in the Sumy Region. It details how these distinct features can be introduced to modern 7th-grade students in art lessons, particularly through the hands-on experience of creating a sketch of a Krolevets woven towel fragment. The article explores the possibilities of using information about artistic weaving in art lessons, offering suggested directions for introducing primary, middle, and high school students to Krolevets woven towels. It provides examples of practical tasks for different age groups, adapted from personal teaching experience in the integrated course "Art" during art lessons. The article concludes that by studying the features, structure, and symbols of the Krolevets towel and using this knowledge in their own artistic and practical activities, students connect with the history, traditions, culture, and decorative and applied arts of Ukraine. They understand the uniqueness of folk crafts from various regions and their value to modern society. Student feedback can be achieved by viewing masterworks at art exhibitions and by preparing individual and group sketches for decorating festive events, greeting cards, and invitations using Krolevets woven towel motifs. The possibility of using computer graphics in students' creative work in a remote learning format is also noted. The tasks proposed in this article are not only useful for studying art education topics but also for teaching other school subjects. The development of further recommendations in this area could be a promising avenue for future research, as the use of folk art heritage in education is a significant contribution to preserving our cultural memory, identity, unity, and our self-awareness as a Ukrainian nation. [ABSTRACT FROM AUTHOR]

Copyright of Actas de Diseño is the property of Facultad de Diseno y Comunicacion, Fundacion Universidad de Palermo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of bāb Journal of FSMVU Faculty of Architecture & Design is the property of bab Journal of FSMVU Architecture & Design and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of bāb Journal of FSMVU Faculty of Architecture & Design is the property of bab Journal of FSMVU Architecture & Design and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays, with the continuous increase in internet traffic, the demand for real-time and high-speed traffic analysis has grown significantly. However, existing traffic analysis technologies are either limited by specific applications or data, unable to expand for widespread implementation, or in offline mode are unable to keep up with dynamic adjustments required in certain network management scenarios. A promising approach is to utilize sketch technology to enhance real-time traffic analysis. Unfortunately, existing technologies suffer from defects, such as overly coarse-grained statistics that cannot perform precise application-level traffic analysis, and irreversibility, which cannot support real-time queries in a friendly way. To achieve real-time fine-grained application traffic analysis in general scenarios, we propose AppSketch, a real-time network traffic measurement tool. AppSketch adopts a one-pass approach to classify and label the application information of each packet in the network flows. It then hashes the flow, identified with the application tag, into a carefully designed multiple-key sketch, for gathering application-specific statistics. We conducted extensive experiments using a real-world network traffic dataset collected on a university campus. The results showed that AppSketch achieved high accuracy while requiring less update time than other alternatives. Moreover, AppSketch occupies limited memory (⁠|$ {\leq }$| 64KB), making it suitable for online network devices. [ABSTRACT FROM AUTHOR]

The purpose of the article is to examine the innovation of comics in the real space of spectacular forms, in particular the impact of comics and graphic stories on cinema, anime, and video games as a global component of contemporary screen spectacle culture. The research methodology is based on the use of semiotic, analytical and cultural methods in revealing the peculiarities of the innovative influence of comics on various types of media in the space of modern spectacular forms. The scientific novelty of the study consists in carrying out an analysis of the evolution of the influence of comics on the development of modern screen spectacular forms, as well as the first cultural research of the innovative features of the synergy of comics and modern forms of screen spectacular culture. Conclusions. Comics provide a wide range of visual and narrative models that can be successfully used in the culture of screen forms of entertainment. Comics are capable of creating multimedia universes that open wide perspectives for the creation of cinematic universes that expand into various media formats. Such universes can become the basis for the creation of franchises, series and video games, expanding the audience and creating new opportunities for media convergence. In addition, the innovation of comics in the culture of screen spectacle forms is manifested in their influence on visual practices, aesthetics and experiments with structure and genres. This makes it possible for sketching to be the very medium that is able to create completely new and unique strategies of narrative constructions, which allows the creators of screen spectacular forms to experiment with many aspects of the composition of the work. [ABSTRACT FROM AUTHOR]

Finding top-k elephant flows in high-speed networks is one of the most fundamental network measurement tasks. It is more challenging than per-flow size estimation since the IDs and sizes of top-k flows must be tracked simultaneously. Most existing studies only record the IDs of a small number of elephant flows to fit their estimators in the extremely limited high-speed on-chip memory. However, these solutions need too many memory accesses when a packet arrives to track the elephant flows with high accuracy, which limits their practicability. Therefore, this paper proposes Jigsaw-Sketch, a new algorithm to find the top-k elephant flows with much fewer memory accesses while achieving high memory efficiency and accuracy. In this design, we propose a novel two-stage jigsaw storage scheme, which can capture the candidate top-k flows from massive network steams efficiently, and further find the top-k elephant flows with high memory efficiency and only a few memory accesses for each packet. Extensive experimental results based on real network traces show that Jigsaw-Sketch improves the packet processing throughput by at least 86%, while achieving smaller memory footprints and higher accuracy compared to the SOTA. [ABSTRACT FROM AUTHOR]

The British Yiddish writer Katie Brown wrote humorous stories and sketches for the London Yiddish newspapers Di post (The Post) in the 1930s and Di tsayt (The Times) in the 1940s. The stories, set in London’s Jewish East End, concern the day-to-day effects of immigration, poverty, and Jewish culture in Britain. After the Second World War, in a bombed-out East End where Jewish migration to the suburbs was accelerating, Brown did not write entirely new sketches, but rather edited versions of her prewar stories. Looking at the earlier and later stories together, we get a sense of the changes happening to London’s Jewish community: the decline of Jewish culture and religious practice, the changing relationship with the Eastern European homeland, and the decline of the Yiddish language. Through close reading and analysis, this article gives historical background to Brown and the social, cultural, and political context of her stories. It situates Brown as the only female journalist writing regularly for the press and identifies her unique perspective in making poignant interventions into Jewish debates of the day through stories of small incidents in family life. She raises questions around how to maintain a Jewish identity in England and visibility as a Jew in a Christian world, and traces change through two decades by describing the tension between the immigrant generation and their children. Using a range of neglected source material in Yiddish, this article throws new light on the Jewish East End in its twilight years. [ABSTRACT FROM AUTHOR]

Efficient real-time top-k flows measurement plays a pivotal role in enhancing both network performance and security, including tasks such as timely traffic scheduling, optimizing network latency and identifying potential security threats. However, traditional methods for detecting top-k flows suffer from decreased accuracy and high memory overhead. Furthermore, many existing methods overlook finer-grained measurements, such as the detection within the latest short time intervals. With the increasing expansion scale and link speed of the network, an accurate real-time top-k flows identified method is required. This paper proposes wSketch, a novel sketch-based method for real-time top-k flows detection. The innovations of wSketch are that it combines with the sliding window model and circular queue model, and introduces a novel probabilistic update solution. The probabilistic update mechanism gives the larger flow a greater chance of retention, the sliding window model focuses on the latest flow in the last $\mathbb {W}$ time units, and the circular queue reduces memory consumption. Therefore, wSketch provides insights into the current network situation and does well in anticipating future trends. The experimental results showcase wSketch’s superior performance, achieving over 96% accuracy with a small memory size of 20KB.

The prominence of sketching and architectural observation has been displaced by the increasing use of CAD tools among architecture students. However, the thesis that these tools can be effectively used together is defended. The research employs a mixed-method design with two sequential phases. Firstly, the prevalence of CAD representations and the use of sketches in two-thirds of the projects are recognized for a sample of 102 thesis projects from the School of Architecture of Catholic University of the North-Chile. In the second phase, through a case study, the symbiosis of sketches with CAD, particularly in their prescriptive and speculative functions, is demonstrated. The article contributes to the discussion on the integration of analog and digital approaches in architectural education and prompts reflection on the continued relevance of sketches as an identity hallmark in the aforementioned school.

Background/Aim: has shown that sketching while narrating facilitates the elicitation of information and verbal veracity cues in single interviews. We examined if these effects are retained when suspects are shown their sketch after one week in a repeated interview. Method: Participants (N = 173) completed a mock mission and then told the truth or lied about it in an immediate interview (interview 1). Participants either verbally reported the mission (Free recall condition) or sketched it while describing what they were sketching (sketch condition). After one week, all participants were asked for a free recall without sketching (interview 2). Half of the participants in the Sketch condition had access to their sketch while they verbally reported the event whereas the remaining half did not access the sketch. Results: Truth tellers provided more information than lie tellers in both interviews, and sketching elicited more information than a free recall but only in Interview 1. Participants who had access to their sketch in interview 2 repeated more information than those who did not have access, but accessing the sketch did not have an effect on veracity cues. Conclusions: Thus, sketching enhanced the elicitation of information in Interview 1 and access to the sketch in interview 2 seemed helpful for recalling previously reported information.

This article compares the preparatory drawings for the illustrations of Miguel de Cervantes Saavedra’s novel Don Quixote de La Mancha by Pavel Șillingovski and Ilie Bogdesco, two famous artists, whose work represents the successive stages in the evolution of graphic during the 20th century. The series of drawings represents different attitudes towards the process of illustrating literary works. In order to achieve the proposed objective, we have resorted to theoretical concepts, present in the science of “art history” and described by the Viennese theorist Walter Koschatzky, as well as the published diary of I. Bogdesco, which complements the artistic creation inherited from the artist. In addition, has been described and analysed, the historiography, including very recent, in which the series of works, proposed for investigation, is published. The sketches for the illustrations allow us to see how the image of the famous hidalgo passes through 20th century art. In addition to this, we also make a brief incursion into the artistic context in which these two personalities worked. Through this modest theoretical approach, we wish to join the series of events and publications commemorating the centenary of the birth of the great graphic artist Ilie Bogdesco.

Recent studies have demonstrated the effectiveness of using hand-drawn sketches of objects as queries for one-shot object localization. However, hand-drawn crude sketches alone can be ambiguous for object localization, which could result in misidentification, e.g., a sketch of a laptop could be confused for a sofa. To overcome this, we propose a novel multimodal approach to object localization that combines sketch queries with linguistic category definitions, allowing for a better representation of visual and semantic cues. Our approach employs a cross-modal attention scheme that guides the region proposal network to obtain relevant proposals. Further, we propose an orthogonal projection-based proposal scoring technique that effectively ranks proposals with respect to the query. We evaluated our method using hand-drawn sketches from the 'Quick, Draw!' dataset and glosses from 'WordNet' as queries on the widely-used MS-COCO dataset, and achieve superior performance compared to related baselines in both open- and closed-set settings. [ABSTRACT FROM AUTHOR]

Sketch-RGB cross-modality person re-identification (ReID) is a challenging task that aims to match a sketch portrait drawn by a professional artist with a full-body photo taken by surveillance equipment to deal with situations where the monitoring equipment is damaged at the accident scene. However, sketch portraits only provide highly abstract frontal body contour information and lack other important features such as color, pose, behavior, etc. The difference in saliency between the two modalities brings new challenges to cross-modality person ReID. To overcome this problem, this paper proposes a novel dual-stream model for cross-modality person ReID, which is able to mine modality-invariant features to reduce the discrepancy between sketch and camera images end-to-end. More specifically, we propose a multi-spectrum image fusion (MSIF) method, which aims to exploit the image appearance changes brought by multiple spectrums and guide the network to mine modality-invariant commonalities during training. It only processes the spectrum of the input images without adding additional calculations and model complexity, which can be easily integrated into other models. Moreover, we introduce a joint structure via a generalized mean pooling (GMP) layer and a self-attention (SA) mechanism to balance background and texture information and obtain the regional features with a large amount of information in the image. To further shrink the intra-class distance, a weighted regularized triplet (WRT) loss is developed without introducing additional hyperparameters. The model was first evaluated on the PKU Sketch ReID dataset, and extensive experimental results show that the Rank-1/mAP accuracy of our method is 87.00%/91.12%, reaching the current state-of-the-art performance. To further validate the effectiveness of our approach in handling cross-modality person ReID, we conducted experiments on two commonly used IR-RGB datasets (SYSU-MM01 and RegDB). The obtained results show that our method achieves competitive performance. These results confirm the ability of our method to effectively process images from different modalities. [ABSTRACT FROM AUTHOR]

The Colombian architect German Samper Gnecco internalized the methodology of drawing motivated by his meeting with Le Corbusier in the atelier of 35 rue de Sèvres in Paris. That tutelage was a crucial moment in his training as an architect, since from then on he would never abandon what would become one of his most important assets: freehand drawing. But who is German Samper?, what has been the meaning of drawing for this architect?, how did he learn from drawing?, and what did German Samper want to seek and express with his drawings? In this article we try to answer these questions and we intend to recover the recognition of his graphic contributions - dispersed in the collective memory- and the review of this fundamental architect of Colombian origin who confirmed through drawing, to represent, recreate and transform the architectural reality; by means of a very personal way, through a unique discourse. [ABSTRACT FROM AUTHOR]

Background/Aim: has shown that sketching while narrating facilitates the elicitation of information and verbal veracity cues in single interviews. We examined if these effects are retained when suspects are shown their sketch after one week in a repeated interview. Method: Participants (N = 173) completed a mock mission and then told the truth or lied about it in an immediate interview (interview 1). Participants either verbally reported the mission (Free recall condition) or sketched it while describing what they were sketching (sketch condition). After one week, all participants were asked for a free recall without sketching (interview 2). Half of the participants in the Sketch condition had access to their sketch while they verbally reported the event whereas the remaining half did not access the sketch. Results: Truth tellers provided more information than lie tellers in both interviews, and sketching elicited more information than a free recall but only in Interview 1. Participants who had access to their sketch in interview 2 repeated more information than those who did not have access, but accessing the sketch did not have an effect on veracity cues. Conclusions: Thus, sketching enhanced the elicitation of information in Interview 1 and access to the sketch in interview 2 seemed helpful for recalling previously reported information. [ABSTRACT FROM AUTHOR]

Copyright of Pós: Revista do Programa de POS-Graduacao Em Artes - EBA/UFMG is the property of Pos - Programa de Pos-graduacao em Artes (PPG-Artes) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of ESTOA: Revista de la Facultad de Arquitectura y Urbanismo de la Universidad de Cuenca is the property of ESTOA Revista de la Facultad de Arquitectura y Urbanismo de la Universidad de Cuenca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Super spread detection has been widely applied in network management, recommender systems, and cyberspace security. It is more complicated than heavy hitter owing to the requirement of duplicate removal. Accurately detecting a super spread in real-time with small memory demands remains a nontrivial yet challenging issue. The previous work either had low accuracy or incurred heavy memory overhead and could not provide a precise cardinality estimation. This paper designed an invertible sketch for super spread detection with small memory demands and high accuracy. It introduces a power-weakening increment strategy that creates an environment encouraging sufficient competition at the early stages of discriminating a super spread and amplifying the comparative dominance to maintain accuracy. Extensive experiments have been performed based on actual Internet traffic traces and recommender system datasets. The trace-driven evaluation demonstrates that our sketch actualizes higher accuracy in super spread detection than state-of-the-art sketches. The super spread cardinality estimation error is 2.6–19.6 times lower than that of the previous algorithms. [ABSTRACT FROM AUTHOR]

Copyright of Yedi is the property of YEDI (Dokuz Eylul Universitesi Guzel Sanatlar Fakultesi Yayini) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Frontiers of Information Technology & Electronic Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction. The contemporary stage of mass media development is marked by a change in the genre system. One of the genres that has almost disappeared from traditional media, but actively reacted to the emergence of the network space and became part of it, is undergoing transformational processes, is the sketch. Relevance and goal. Understanding the trends in the development of sketches at the current stage is relevant, as it provides an opportunity to look at the place and role of this genre in the social and communication space in a new way. The purpose of the study is to outline the trends in the functioning of the sketch genre in the contemporary social and communication space. Methodology. The research used the methods of scientific literature analysis, analysis and synthesis, typological analysis, and systematization. The chosen methods made it possible to find out the general features of the development of the sketch genre in the Ukrainian social and communication space. Results. A survey of traditional media showed that today the sketch is almost not presented in them. However, this genre has not completely disappeared, it cannot be classified as marginal. Currently, the sketch is undergoing a process of revival and transformation, reflecting those processes that are characteristic of the contemporary period of development of media activity – the era of post-journalism. Social networks have become a successful platform for its implementation, where this genre acquires a new genre dimension. The most optimal way to realize the genre “status” of a sketch is Facebook – a social communication platform that provides for small-format posts, an active authorial position, which is characteristic of the genre we are considering. The sketch adapts to the conditions of network discourse, so its genre model also changes: the presentation style is simplified, the visual component is strengthened, etc. The communicative approach to writing is also changing: from the genre of a professional sketch, it is transformed into a genre of amateur journalism. Network sketches became the catalyst of a new socio-communication phenomenon – network literature (virtual literature, Internet literature). Sketches “outgrow” the boundaries of social media and find a literary embodiment in individual publications. The modern media space is characterized by the functioning of both traditional types of sketches and the latest forms. Conclusions. Sketches are becoming more and more in demand in the modern social and communication space. This genre adapted to the requirements of the “network” discourse and became an integral part of it. [ABSTRACT FROM AUTHOR]

In many applications, data streams are indispensable to describe the relationships between nodes in networks, such as social networks, computer networks, and hyperlink networks. Fundamentally, a graph stream is a dynamic representation of a graph, which is usually composed of a sequence of edges, where each edge is represented by two endpoints and a weight. As a result of its large volume and highly dynamic nature, several graph sketches were proposed for the purposes of summarizing large-scale graph streams and enabling fast query processing. By using a compact data structure with hash functions, the graph sketches sequentially store the edges. Nevertheless, the existing graph sketches suffer from low performance on graph query tasks as a result of unpredictable collisions between heavy edges and light edges. To store heavy edges and light edges, this paper introduces a novel learning-based Dichotomy Graph Sketch (DGS) mechanism that uses two separate graph sketches, a heavy sketch and a light sketch. During a graph stream session, DGS obtains heavy edges and light edges, and uses these edges as training samples for a deep neural network (DNN) based binary classifier. The DNN-based classifier is then used to determine whether the upcoming edges are heavy or not. We will store the edges that are classified as heavy edges in the heavy sketch, and those that are classified as light edges in the light sketch. By combining the learnable classifier and Dichotomy Graph Sketches, the proposed mechanism resolves the hashing collision problem in conventional graph sketches and significantly improves graph query accuracy. The DGS algorithm outperforms the state-of-the-art graph sketches in a variety of graph query tasks based on extensive experiments that were conducted on four real-world graph stream datasets. [ABSTRACT FROM AUTHOR]

The sketch is one of the typical and widely used data structures for estimating the frequencies of items in data streams. However, since the counter sizes in traditional rectangular sketch (r- sketch) are the same, it is hard to achieve small space usage, high capacity (i.e. the maximum frequency can be recorded) and high estimated accuracy simultaneously. Moreover, when considering the high skewness of data streams, this problem will become even worse. Consequently, we propose the trapezoidal sketch (t- sketch) in this paper. In the t- sketch, different from the r- sketch, the counter sizes in different layers are different. Therefore, the low space usage and high capacity can be achieved simultaneously in the t- sketch. Moreover, based on the basic t- sketch, we propose the space-saving t- sketch and the capacity-improvement t- sketch and analyze the properties of these two t- sketches. Finally, for improving the estimation accuracy of the t- sketch further, we propose the probabilistic-based estimation error-reducing algorithm. Compared with the CM sketch, CU sketch, C sketch and A sketch, the simulation results show that the performances on space usage, capacity and estimation accuracy are improved successfully by the space-saving t- sketch and the capacity-improvement t- sketch. [ABSTRACT FROM AUTHOR]

With the release of various software that enables easy data sharing and collaboration, an environment has been created where one can work flexibly in any situation. This paper proposes a real-time sketch collaboration software based on a diffusion model that allows multiple users to gather online to share and express their sketch ideas together, and to produce creative images of different styles based on their sketch drawings. The proposed software consists of a sketch collaboration module that shares sketch works in real time based on WebSocket, and a sketch transformation module that generates different styles of images according to the given text based on ControlNet, one of the diffusion models. It supports workspace management, collaborative sketch, and AI sketch assistant features and is implemented as a mobile application using the Flutter framework. The proposed software enables the sharing of creative sketch ideas and can also serve as a tool for artistic creation. [ABSTRACT FROM AUTHOR]

A deep-learning-based model for generating line-based portrait sketches from portrait photos is proposed in this paper. The misalignment problem is addressed by the introduction of a novel loss term, designed to tolerate misalignments between Ground Truth sketches and generated sketches. Artists' sketching strategies are mimicked by dividing the portrait into face and hair regions, with separate models trained for each region, and the outcomes subsequently combined. Our contributions include the resolution of misalignment between photos and artist-created sketches, and high-quality sketch results via region-based model training. The experimental results show the effectiveness of our approach in generating convincing portrait sketches, with both quantitative and visual comparisons to State-of-the-Art techniques. The quantitative comparisons demonstrate that our method preserves the identity of the input portrait photos, while applying the style of Ground Truth sketch. [ABSTRACT FROM AUTHOR]

Verifying statements at the crime scene allows obtaining information about various details, facts, aspects, sometimes substantial, on account of the clarifications, concretizations, changes and additions presented by the person whose statements are verified. Verification of statements at the crime scene, combining in itself features of several evidentiary procedures, has a special complex character and a specific implementation tactics. The verification of statements at the crime scene has similarities with such criminal prosecution actions as crime scene investigation, identification parade, experiment and interrogation. However, it has its own content and characteristic features that make it individual. The organized combination of the narration and the demonstration of the details of the circumstances of the crime, which confirm the justice of what was related, as well as the demonstration of the actions that confirm the statements are indispensable tactical elements of the verification of the statements at the crime scene. In the process of verifying the statements at the crime scene, we can obtain previously unknown information about the place of the crime, the itinerary traveled by the interrogated persons, co-participants in the crime; traces of the crime or corpus delicti may be discovered; certain circumstances etc. may be clarified or specified. [ABSTRACT FROM AUTHOR]