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» Series feature aggregation for content-based image retrieval
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ISBI
2009
IEEE
15 years 4 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
CLEF
2010
Springer
14 years 10 months ago
RGU at ImageCLEF2010 Wikipedia Retrieval Task
Abstract. This working notes paper describes our first participation in the ImageCLEF2010 Wikipedia Retrieval Task[1]. In this task, we mainly test our Quantum Theory inspired retr...
Jun Wang, Dawei Song, Leszek Kaliciak
ISM
2008
IEEE
136views Multimedia» more  ISM 2008»
14 years 9 months ago
Applying Aggregation Concepts for Image Search
Through the influx of information content on the Internet, a number of image search methodologies have been presented and implemented to increase the accuracy of image retrieval i...
Brandeis Marshall, Dale-Marie Wilson
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
15 years 11 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
ICMCS
2008
IEEE
152views Multimedia» more  ICMCS 2008»
15 years 4 months ago
A geometric method to compute directionality features for texture images
In content based image analysis and retrieval, texture feature is an essential component due to its strong discriminative power. Directionality is one of the most significant text...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu