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» Thinking of a System for Image Retrieval
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ICMCS
2008
IEEE
152views Multimedia» more  ICMCS 2008»
14 years 2 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
SAC
2009
ACM
14 years 2 months ago
Where are your manners?: Sharing best community practices in the web 2.0
The Web 2.0 fosters the creation of communities by offering users a wide array of social software tools. While the success of these tools is based on their ability to support diff...
Angelo Di Iorio, Davide Rossi, Fabio Vitali, Stefa...
PRIS
2001
13 years 9 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
TOG
2012
279views Communications» more  TOG 2012»
11 years 10 months ago
Sketch-based shape retrieval
We develop a system for 3D object retrieval based on sketched feature lines as input. For objective evaluation, we collect a large number of query sketches from human users that a...
Mathias Eitz, Ronald Richter, Tamy Boubekeur, Kris...
ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Learning from Relevance Feedback Sessions using a K-Nearest-Neighbor-Based Semantic Repository
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
Matthew Royal, Ran Chang, Xiaojun Qi