Presentation 2009-05-29
Performance Evaluation on Content-Based Copy Detection Based on Color Layout Descriptor
Yusuke UCHIDA, Masaru SUGANO, Masayuki HASHIMOTO, Akio YONEYAMA,
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Abstract(in English) Recently, Content-Based Copy Detection (CBCD), sometimes referred to as fingerprinting, attracts considerable attention in the area of content protection. In this paper, we propose a robust CBCD method where we use the next and previous frames of shot boundaries in a video content as keyframes. Furthermore, the proposed method divides each keyframes into some regions and extracts features individually. The proposed method is evaluated from various aspects, and we confirm that detection accuracy against pattern inserted queries is improved by picture partitioning, and detection accuracy against cropping queries and contrast change queries is improved by using the next and previous frames of shot boundaries in a video content as keyframes.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Content-Based Copy Detection / Near-Duplicate Detection / Color Layout Descriptor / Shot Boundary Detection / Digital Fingerprinting
Paper # IE2009-38,PRMU2009-29,MI2009-29
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Committee IE
Conference Date 2009/5/21(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Evaluation on Content-Based Copy Detection Based on Color Layout Descriptor
Sub Title (in English)
Keyword(1) Content-Based Copy Detection
Keyword(2) Near-Duplicate Detection
Keyword(3) Color Layout Descriptor
Keyword(4) Shot Boundary Detection
Keyword(5) Digital Fingerprinting
1st Author's Name Yusuke UCHIDA
1st Author's Affiliation KDDI R & D Laboratories, Inc.()
2nd Author's Name Masaru SUGANO
2nd Author's Affiliation KDDI R & D Laboratories, Inc.
3rd Author's Name Masayuki HASHIMOTO
3rd Author's Affiliation KDDI R & D Laboratories, Inc.
4th Author's Name Akio YONEYAMA
4th Author's Affiliation KDDI R & D Laboratories, Inc.
Date 2009-05-29
Paper # IE2009-38,PRMU2009-29,MI2009-29
Volume (vol) vol.109
Number (no) 63
Page pp.pp.-
#Pages 6
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