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RGVCD
- Source :
- Proceedings of the International Symposium on Big Data and Artificial Intelligence.
- Publication Year :
- 2018
- Publisher :
- ACM, 2018.
-
Abstract
- Interesting video clip detection is an important task in computer vision, which can be used as data preprocessing for a wide range of applications such as video retrieval and content-based video clustering. In this paper, we propose a new real-time game video clip detection system for interesting moments termed as RGVCD. During training period, we generate a set of game video clips to train a spatial-temporal network. Given a test video, RGVCD first generates potentially interesting video clips. For each clip, we extract features from images and optical flow using deep convolutional network. Finally, RGVCD outputs interesting degree score based on the spatial-temporal features. Additionally, we collect a set of games video clips and provide the corresponding binary label to denote whether the video clip is of our interest. With this dataset, our system demonstrates its efficiency in real-time interesting video clip detection with high accuracy.
- Subjects :
- Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Optical flow
Set (abstract data type)
Task (computing)
Range (mathematics)
Computer vision
Data pre-processing
Artificial intelligence
CLIPS
Cluster analysis
business
Video game
computer
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the International Symposium on Big Data and Artificial Intelligence
- Accession number :
- edsair.doi...........f6e8536d6a1f4ba1944125ceae3fd91d