A degree-of-edit ranking for consumer generated video retrieval

Authors:
Go Irie;Kota Hidaka;Takashi Satou;Toshihiko Yamasaki;Kiyoharu Aizawa
Affiliations:
NTT Cyber Solutions Laboratories, NTT Corp. and Department of Information and Communication Engeneering, The University of Tokyo;NTT Cyber Solutions Laboratories, NTT Corp.;NTT Cyber Solutions Laboratories, NTT Corp.;Department of Information and Communication Engeneering, The University of Tokyo;Department of Information and Communication Engeneering, The University of Tokyo
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

We introduce degree-of-edit (DoE) ranking to focus on "how much a CGV is edited" as a ranking measure for consumer generated video (CGV) retrieval; a method to estimate DoE ranking is proposed. In the proposed method, the DoE score of a CGV is estimated by using low-level features such as the number of shot boundaries and time ratio of music. We evaluate the rank correlation between DoE ranking determined by subjects and by our method. To demonstrate its performance in a practical scenario, a user test is performed on over 22,000 CGVs in the context of CGV search. The obtained results show that our method significantly improves conventional CGV ranking results in terms of availabilities of interesting and high-quality CGVs.