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» Evaluating Image Retrieval
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203
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VLDB
2009
ACM
136views Database» more  VLDB 2009»
16 years 5 months ago
Speed up interactive image retrieval
Heng Tao Shen, Shouxu Jiang, Kian-Lee Tan, Zi Huan...
173
Voted
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Improved Similarity-Based Online Feature Selection in Region-Based Image Retrieval
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
Fei Li, Qionghai Dai, Wenli Xu
ISCAS
2006
IEEE
222views Hardware» more  ISCAS 2006»
15 years 11 months ago
Texture image retrieval using complex directional filter bank
— In this paper, the shift-invariant complex directional filter bank (CDFB) is proposed for texture image retrieval. By combining the Laplacian pyramid and the CDFB, a new image...
An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara
ECIR
2009
Springer
16 years 2 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
145
Voted
MMM
2005
Springer
159views Multimedia» more  MMM 2005»
15 years 10 months ago
Region-Based Image Retrieval with High-Level Semantic Color Names
Performance of traditional content-based image retrieval systems is far from user’s expectation due to the ‘semantic gap’ between low-level visual features and the richness ...
Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma