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» Estimating Missing Features to Improve Multimedia Retrieval
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MIR
2006
ACM
223views Multimedia» more  MIR 2006»
13 years 11 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
14 years 6 months ago
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases
Multimedia objects are often described by high-dimensional feature vectors which can be used for retrieval and clustering tasks. We have built an interactive retrieval system for ...
Benjamin Bustos, Daniel A. Keim, Christian Panse, ...
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
13 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
AMR
2005
Springer
106views Multimedia» more  AMR 2005»
13 years 10 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&...
ICMCS
2007
IEEE
154views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Improving Semantic Concept Detection and Retrieval using Contextual Estimates
In this paper we introduce a novel contextual fusion method to improve the detection scores of semantic concepts in images and videos. Our method consists of three phases. For eac...
Yusuf Aytar, Omer Bilal Orhan, Mubarak Shah