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» Textural Features and Relevance Feedback for Image Retrieval
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MMM
2007
Springer
143views Multimedia» more  MMM 2007»
15 years 6 months ago
Semi-supervised Cast Indexing for Feature-Length Films
Abstract. Cast indexing is a very important application for contentbased video browsing and retrieval, since the characters in feature-length films and TV series are always the ma...
Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimi...
AMR
2007
Springer
171views Multimedia» more  AMR 2007»
15 years 6 months ago
Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis
The goal of this paper is to study the image-concept relationship as it pertains to image annotation. We demonstrate how automatic annotation of images can be implemented on partia...
Donn Morrison, Stéphane Marchand-Maillet, E...
TMM
2002
163views more  TMM 2002»
14 years 11 months ago
Image segmentation and similarity of color-texture objects
Abstract-- We aim for content-based image retrieval of textured objects in natural scenes under varying illumination and viewing conditions. To achieve this, image retrieval is bas...
Theo Gevers
KES
2005
Springer
15 years 5 months ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
BMVC
2001
15 years 2 months ago
Salient Points for Content-Based Retrieval
In image retrieval, global features related to color or texture are commonly used to describe the image content. The use of interest points in contentbased image retrieval allows ...
Nicu Sebe, Michael S. Lew