NDLI: Retrieval of News Video Using Video Sequence Matching

Content Provider	IEEE Xplore Digital Library
Author	Young-tae Kim Tat-Seng Chua
Copyright Year	2005
Description	Author affiliation: ETRI (Young-tae Kim)
Abstract	In this paper, we propose a new algorithm to find video clips with different temporal durations and some spatial variations. We adopt a longest common sub-sequence (LCS) matching technique for measuring the temporal similarity between video clips. Based on the measure we propose 3 techniques to improve the retrieval effectiveness. First, we use a few coefficients in the low frequency region of DCT block as the basis to represent spatial features. Second, we heuristically determine a suitable quantization step-size for visual features to better tolerate spatial variations of similar video clips and propose a paired quantizer method. Third, we incorporate the compactness and/or continuity of matched common sub-sequences in the LCS measure to better reflect temporal characteristics of video. The performance of the proposed algorithm shows an improvement of 63.5% in terms of MAP (mean average precision) as compared to an existing algorithm. The results show that our approach is effective for news video retrieval.
Starting Page	68
Ending Page	75
File Size	162009
Page Count	8
File Format	PDF
ISBN	0769521649
ISSN	15505502
DOI	10.1109/MMMC.2005.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-01-12
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video sequences Video compression Streaming media Indexing Videoconference Broadcasting Multimedia communication Information retrieval Layout Frequency similarity measure video retrieval sequence matching longest common sub-sequence
Content Type	Text
Resource Type	Article

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