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Statistics / Image processing / Image search / Color layout descriptor / Multimedia / Telecommunications / Shot transition detection / Haar-like features / Cluster analysis / Computer vision / Vision / Imaging


High-Level Feature Extraction Experiments for TRECVID 2007 Masaki Naito*1, Keiichiro Hoashi*1, Kazunori Matsumoto*1, Masami Shishibori*2, Kenji Kita*2, Andrea Kutics*3, Akihiko Nakagawa*3, Fumiaki Sugaya*1 and Yasuyuki N
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Document Date: 2007-11-28 11:17:01

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File Size: 1,26 MB

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City

Tokyo / /

Company

KDDI R&D Laboratories / KDDI R&D Laboratories Inc. / /

Country

Germany / Japan / United States / Korea / /

Facility

Tokyo University of Technology / University ADVENT Technical Report / JAPAN Tokushima University / /

IndustryTerm

semi-learning algorithm / retrieval algorithms / bottom-up hierarchical clustering algorithm / /

Organization

Columbia University / Tokyo University of Technology / JAPAN Tokushima University / /

Person

Kenji Kita / Masaki Naito / Kazunori Matsumoto / Yasuyuki Nakajima / Masami Shishibori / Andrea Kutics / Akihiko Nakagawa / Fumiaki Sugaya / J. R. Smith / B. L. Tseng / Y. Lin / /

Position

feature-based extractor / representative / feature-based face extractor / /

Product

L2 / MPEG-7 / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

Information Retrieval Technology / MPEG / semi-learning algorithm / Information technology / retrieval algorithms / bottom-up hierarchical clustering algorithm / /

URL

http /

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