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CVPR
1997
IEEE
1944views Computer Vision» more  CVPR 1997»
16 years 6 months ago
Image Indexing Using Color Correlograms
We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effec...
Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu...
ICIP
2002
IEEE
16 years 6 months ago
Retrieval of sketches based on spatial relation between strokes
In this paper we propose a method to retrieve sketches stored in the form of multiple strokes, by extracting the shape information for each stroke and by considering the spatial r...
Wing Ho Leung, Tsuhan Chen
CIVR
2006
Springer
106views Image Analysis» more  CIVR 2006»
15 years 8 months ago
Video Retrieval Using High Level Features: Exploiting Query Matching and Confidence-Based Weighting
Abstract. Recent research in video retrieval has focused on automated, highlevel feature indexing on shots or frames. One important application of such indexing is to support preci...
Shi-Yong Neo, Jin Zhao, Min-Yen Kan, Tat-Seng Chua
TMM
2002
140views more  TMM 2002»
15 years 4 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
ACIVS
2008
Springer
15 years 6 months ago
Efficient and Flexible Cluster-and-Search for CBIR
Content-Based Image Retrieval is a challenging problem both in terms of effectiveness and efficiency. In this paper, we present a flexible cluster-and-search approach that is able ...
Anderson Rocha, Jurandy Almeida, Mario A. Nascimen...