A degree-of-edit ranking for consumer generated video retrieval
Go Irie, Kota Hidaka, Takashi Satou, Toshihiko Yamasaki, Kiyoharu Aizawa · 2009
We introduce degree-of-edit (DoE) ranking to focus on ldquohow much a CGV is editedrdquo 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.