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CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
15 years 2 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
MM
1997
ACM
182views Multimedia» more  MM 1997»
15 years 1 months ago
VideoQ: An Automated Content Based Video Search System Using Visual Cues
The rapidity with which digital information, particularly video is being generated, has necessitated the development of tools for efficient search of these digital media. Content...
Shih-Fu Chang, William Chen, Horace J. Meng, Hari ...
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
15 years 3 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
PRIS
2001
14 years 10 months ago
Relevance Feedback in Content-based Image Search
: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful ...
HongJiang Zhang
ICASSP
2008
IEEE
15 years 3 months ago
Graph laplacian for interactive image retrieval
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...