Presentation 2007-12-14
Fast detection method for shot boundary including gradual transition using multiple features
Yoshihiko KAWAI, Hideki SUMIYOSHI, Nobuyuki YAGI,
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Abstract(in English) Shot boundary detection is one of the most fundamental processes in video analysis, and it requires high detection accuracy and high-speed processing. This paper proposes a method for detecting shot boundary including gradual transition based on multiple features. The proposed method enables precise, high-speed detection by omitting the processing of frames that are clearly not shot boundaries, and by analyzing various features only for the parts of the video that are likely to contain shot boundaries. An evaluation on TRECVID 2007, which is an international competition and evaluation project on video retrieval and indexing, resulted in a recall rate of 90.4% and a precision rate of 92.8% on average. About 425 minutes of test data was processed in 3 minutes 28 seconds (excluding the MPEG1 decoding time), 1/123 of the real time. The proposed method was evaluated as the fastest method on TRECVID 2007.
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Keyword(in English) Shot boundary detection / Multiple features / Cut / Dissolve / Fade / TRECVID
Paper # CS2007-53,IE2007-136
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Conference Information
Committee CS
Conference Date 2007/12/6(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fast detection method for shot boundary including gradual transition using multiple features
Sub Title (in English)
Keyword(1) Shot boundary detection
Keyword(2) Multiple features
Keyword(3) Cut
Keyword(4) Dissolve
Keyword(5) Fade
Keyword(6) TRECVID
1st Author's Name Yoshihiko KAWAI
1st Author's Affiliation Science and Technical Research Laboratories, NHK()
2nd Author's Name Hideki SUMIYOSHI
2nd Author's Affiliation Science and Technical Research Laboratories, NHK
3rd Author's Name Nobuyuki YAGI
3rd Author's Affiliation Science and Technical Research Laboratories, NHK
Date 2007-12-14
Paper # CS2007-53,IE2007-136
Volume (vol) vol.107
Number (no) 379
Page pp.pp.-
#Pages 6
Date of Issue