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ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
13 years 10 months ago
An Empirical Study on Large-Scale Content-Based Image Retrieval
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR...
Yuk Man Wong, Chu-Hong Hoi, Michael R. Lyu
ICPR
2002
IEEE
13 years 9 months ago
Empirical Evaluation of MPEG-7 XM Color Descriptors in Content-Based Retrieval of Semantic Image Categories
This paper conducts an empirical evaluation of MPEG-7 visual part of experimentation model (XM) color descriptors in a challenging problem of content-based retrieval of semantic i...
Timo Ojala, Markus Aittola, Esa Matinmikko
CIVR
2004
Springer
184views Image Analysis» more  CIVR 2004»
13 years 8 months ago
Towards a Large Scale Concept Ontology for Broadcast Video
Earlier this year, a major effort was initiated to study the theoretical and empirical aspects of the automatic detection of semantic concepts in broadcast video, complementing ong...
Alexander G. Hauptmann
ISVC
2007
Springer
13 years 10 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
2010
IEEE
13 years 2 months ago
Font retrieval on a large scale: An experimental study
This paper addresses the problem of font retrieval using a query-by-example paradigm: given a font, retrieve the the most visually similar fonts. We describe a font by (a) renderi...
Saurabh Kataria, Luca Marchesotti, Florent Perronn...