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There are many research works in visible as well as thermal facial expression analysis and recognition. Several facial expression databases have been designed in both modalities. However, little attention has been given for analyzing blended facial expressions in the thermal infrared spectrum. In this paper, we have introduced a Visual-Thermal Blended Facial Expression Database (VTBE) that contains visual and thermal face images with both basic and blended facial expressions. The database contains 12 posed blended facial expressions and spontaneous six basic facial expressions in both modalities. In this paper, we have proposed Deformed Thermal Facial Area (DTFA) in thermal expressive face image and make an analysis to differentiate between basic and blended expressions using DTFA. Here, the fusion of DTFA and Deformed Visual Facial Area (DVFA) has been proposed combining the features of both modalities and experiments and has been conducted on this new database. However, to show the effectiveness of our proposed approach, we have compared our method with state-of-the-art methods using USTC-NVIE database. Experiment results reveal that our approach is superior to state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Customer relationship management is of utmost importance. Nobody wants one time customers who come and go. With the ever increasing cost of acquiring customers it becomes important that we optimize the process while maintaining and nurturing a deeper relationship with customers who are already onboard. In order to do that, a company should have a clearly defined method of nurturing customers. From acquiring information to approaching potential buyers, following up, offering relevant content as well as loyalty programs and promotions. Organizations face different levels of implementation barriers. The reason for this is the circumstances that vary from organization to organization. In this study, we have tried to understand the future probabilities of CRM implementation and its fruitful benefits in the automotive industry in India. India is a prominent auto exporter and has strong export growth expectations for the near future. According to the Society of Indian Automotive Manufacturers (SIAM), Indian automotive sector is expected to achieve a turnover of $300 billion- clocking a CAGR of 15%. The Automotive Mission Plan (AMP)was drafted in 2006 to map the aspirations of the auto and auto component industry, to promote India as a preferred global manufacturing destination and introduced intervention and prescription mechanisms for promoting the industry. The ideal tagline for CRM (Customer Relationship Management) in the automotive industry should be "Specify what you want and we will build it for you." We have tried to analyze the level of interaction of a car company with its customers, the satisfaction in the whole process in terms of money, time and efforts expended through a survey. This paper discusses about the present as well as future prospects of automotive industry in terms of increased customer involvement and thereby establishing long lived relationship with current and potential customers. [ABSTRACT FROM AUTHOR]