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» A Query Analytic Model for Image Retrieval
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ESWA
2008
127views more  ESWA 2008»
14 years 10 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
JUCS
2002
231views more  JUCS 2002»
14 years 9 months ago
Efficient Content-Based and Metadata Retrieval in Image Database
: Managing image data in a database system using metadata has been practiced since the last two decades. However, describing an image fully and adequately with metadata is practica...
Solomon Atnafu, Richard Chbeir, Lionel Brunie
ICIP
2001
IEEE
15 years 11 months ago
VISMap: an interactive image/video retrieval system using visualization and concept maps
Images and videos can be indexed by multiple features at different levels, such as color, texture, motion, and text annotation. Organizing this information into a system so that u...
William Chen, Shih-Fu Chang
ICDE
2007
IEEE
120views Database» more  ICDE 2007»
15 years 4 months ago
Support Concurrent Queries in Multiuser CBIR Systems
Various techniques have been developed for different query types in content-based image retrieval (CBIR) systems such as sampling queries, constrained sampling queries, multiple c...
Danzhou Liu, Kien A. Hua
MM
2004
ACM
151views Multimedia» more  MM 2004»
15 years 3 months ago
Affinity relation discovery in image database clustering and content-based retrieval
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...