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» Relevance Feedback Methods in Content Based Retrieval and Vi...
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CVPR
2006
IEEE
14 years 9 months ago
A Simple Bayesian Framework for Content-Based Image Retrieval
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...
Katherine A. Heller, Zoubin Ghahramani
CLEF
2009
Springer
13 years 5 months ago
Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content Enrichment
VideoCLEF 2009 offered three tasks related to enriching video content for improved multimedia access in a multilingual environment. For each task, video data (Dutch-language telev...
Martha Larson, Eamonn Newman, Gareth J. F. Jones
WWW
2003
ACM
14 years 8 months ago
Improving pseudo-relevance feedback in web information retrieval using web page segmentation
In contrast to traditional document retrieval, a web page as a whole is not a good information unit to search because it often contains multiple topics and a lot of irrelevant inf...
Shipeng Yu, Deng Cai, Ji-Rong Wen, Wei-Ying Ma
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
14 years 1 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang
MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 4 days ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...