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» Indexing Text and Visual Features for WWW Images
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MMM
2003
Springer
136views Multimedia» more  MMM 2003»
14 years 1 months ago
Modeling Data and User Characteristics by Peer Indexing in Content-based Image Retrieval
: Modeling the characteristics of specific images and individual users is a critical issue in content-based image retrieval but insufficiently addressed by the current retrieval ap...
Jun Yang 0003, Qing Li, Yueting Zhuang
MMM
1998
Springer
95views Multimedia» more  MMM 1998»
14 years 1 days ago
Multimedia Semantic Features and Image Content Description
Content-based indexing and retrieval of images and video requires a proper semantic description for image content. This paper discusses the mapping of high-level, application-spec...
Marc Cavazza, Roger J. Green, Ian J. Palmer
ICIAP
2003
ACM
14 years 8 months ago
Perceptive visual texture classification and retrieval
In this paper we present some analysis techniques and indexing strategies aimed to support classification and retrieval of textures using only perceptual features. The goal of thi...
Sebastiano Battiato, Giovanni Gallo, Salvatore Nic...
MM
2010
ACM
192views Multimedia» more  MM 2010»
13 years 8 months ago
iLike: integrating visual and textual features for vertical search
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
WWW
2010
ACM
14 years 1 months ago
What are the most eye-catching and ear-catching features in the video?: implications for video summarization
Video summarization is a mechanism for generating short summaries of the video to help people quickly make sense of the content of the video before downloading or seeking more det...
Yaxiao Song, Gary Marchionini, Chi Young Oh