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ISVC
2007
Springer
14 years 1 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
ICIP
2000
IEEE
14 years 9 months ago
Efficient Video Similarity Measurement and Search
We consider the use of meta-data and/or video-domain methods to detect similar videos on the web. Meta-data is extracted from the textual and hyperlink information associated with...
Sen-Ching S. Cheung, Avideh Zakhor
PAMI
2008
270views more  PAMI 2008»
13 years 7 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
ICPR
2008
IEEE
14 years 1 months ago
Learning combined similarity measures from user data for image retrieval
Image retrieval has become an interesting and active field due to the increasing necessity of searching and browsing very large image repositories. Images are represented using s...
Miguel Arevalillo-Herráez, Francesc J. Ferr...
ICDAR
2007
IEEE
14 years 1 months ago
Curvelets Based Queries for CBIR Application in Handwriting Collections
This paper presents a new use of the Curvelet transform as a multiscale method for indexing linear singularities and curved handwritten shapes in documents images. As it belongs t...
Guillaume Joutel, Véronique Eglin, St&eacut...