Automatically Discovering Unknown Short Video Repeats
Xianfeng Yang
Ping Xue
Qi Tian
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.;
This paper appears in: Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Publication Date: 15-20 April 2007
Volume: 1,
On page(s): I-1265-I-1268
Location: Honolulu, HI,
ISSN: 1520-6149
ISBN: 1-4244-0727-3
INSPEC Accession Number: 9497124
Digital Object Identifier: 10.1109/ICASSP.2007.366145
Current Version Published: 2007-06-04
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
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