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ICMCS
2009
IEEE
205views Multimedia» more  ICMCS 2009»
15 years 1 months ago
Bregman vantage point trees for efficient nearest Neighbor Queries
Nearest Neighbor (NN) retrieval is a crucial tool of many computer vision tasks. Since the brute-force naive search is too time consuming for most applications, several tailored d...
Frank Nielsen, Paolo Piro, Michel Barlaud
MM
2009
ACM
197views Multimedia» more  MM 2009»
15 years 10 months ago
Sirio: an ontology-based web search engine for videos
In this technical demonstration we show a web video search engine based on ontologies, the Sirio1 system, that has been developed within the EU VidiVideo project. The goal of the ...
Thomas M. Alisi, Marco Bertini, Gianpaolo D'Amico,...
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
15 years 8 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
15 years 8 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
AMR
2006
Springer
119views Multimedia» more  AMR 2006»
15 years 5 months ago
The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System
Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end...
Maher Ben Moussa, Marco Pasch, Djoerd Hiemstra, Pa...