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» Textural Features and Relevance Feedback for Image Retrieval
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CIVR
2003
Springer
200views Image Analysis» more  CIVR 2003»
15 years 5 months ago
Multimedia Search with Pseudo-relevance Feedback
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evi...
Rong Yan, Alexander G. Hauptmann, Rong Jin
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
TMM
2010
249views Management» more  TMM 2010»
14 years 6 months ago
Bridging the Semantic Gap Between Image Contents and Tags
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
AMR
2005
Springer
106views Multimedia» more  AMR 2005»
15 years 5 months ago
Surface Features in Video Retrieval
This paper assesses the usefulness of surface features in a multimedia retrieval setting. Surface features describe the metadata or structure of a document rather than the content....
Thijs Westerveld, Arjen P. de Vries, Georgina Ram&...
AVBPA
2005
Springer
267views Biometrics» more  AVBPA 2005»
15 years 5 months ago
Experiments in Mental Face Retrieval
Abstract. We propose a relevance feedback system for retrieving a mental face picture from a large image database. This scenario differs from standard image retrieval since the ta...
Yuchun Fang, Donald Geman