Million-scale near-duplicate video retrieval system

Authors:
Yang Cai;Linjun Yang;Wei Ping;Fei Wang;Tao Mei;Xian-Sheng Hua;Shipeng Li
Affiliations:
Zhejiang University, Hangzhou, China;Microsoft Research Asia, Beijing, China;Tsinghua University, Beijing, China;Microsoft Bing, Beijing, China;Microsoft Research Asia, Beijing, China;Microsoft Bing, Bellevue, WA, USA;Microsoft Research Asia, Beijing, China
Venue:
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Year:
2011

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Abstract

In this paper, we present a novel near-duplicate video retrieval system serving one million web videos. To achieve both the effectiveness and efficiency, a visual word based approach is proposed, which quantizes each video frame into a word and represents the whole video as a bag of words. The system can respond to a query in 41ms with 78.4% MAP on average.