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AUTOMATICALLY DISCOVERING UNKNOWN SHORT VIDEO REPEATS

By Xianfeng Yang, Ping Xuel and Qi Tian

Abstract

In this paper we propose an efficient and robust method to automatically discover unknown short video repeats with arbitrary lengths, from a few seconds to a few minutes, from large video databases or streams. The proposed method consists of non-uniform video segmentation, self-similarity analysis, locality sensitive hashing, and video repeat boundary refinement. In order to achieve efficient and accurate processing feature extraction and similarity measure are performed at two levels: video frame level and video segment level. Experiments are conducted on 12 hour CNN/ABC news, and 12 hour documentaries (Discovery and National Geography), high recall and precision of 98 %- 99 % have been achieved. Video repeats ' boundaries can be located within several frames. Applying the proposed method for video structure analysis is also briefly discussed. Index Terms: Multimedia computing, multimedia systems, video signal processing, database search, pattern recognition 1

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.5040
Provided by: CiteSeerX
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