User-oriented Affective Video Content Analysis
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
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MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Affect-based indexing and retrieval of films
Proceedings of the 13th annual ACM international conference on Multimedia
EmoPlayer: A media player for video clips with affective annotations
Interacting with Computers
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Expert Systems with Applications: An International Journal
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Affective video content representation and modeling
IEEE Transactions on Multimedia
Adaptive extraction of highlights from a sport video based on excitement modeling
IEEE Transactions on Multimedia
Affective understanding in film
IEEE Transactions on Circuits and Systems for Video Technology
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The research presented herein provides exciting findings in the field of automatic affective video indexing. Because advances in multimedia technologies have resulted in extensive digital video libraries, automatic methods are needed to assist users in finding videos with the content they desire. A growing area of research in the field is affective video indexing. This area of research attempts to identify video content that is affective, or emotional in nature. Slapstick comedy is a widely popular humor technique found in videos. Slapstick has features that make it a desirable target for automatic affective video indexing strategies. This research is the first of its kind to use computer-based methods to not only identify slapstick comedy in videos, but to pinpoint the location of the slapstick event. The key break-through of the research is that the targeted content was identified using the low-level video characteristics, rather than relying on human-generated labeling. This study provides positive results along with approaches to future research that are aimed at expanding the field of automatic affective video indexing.