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MM
1999
ACM
155views Multimedia» more  MM 1999»
15 years 1 months ago
Multi-scale sub-image search
If an image should be retrieved by its subregions from a large image database, an immense number of possible queries will appear. Therefore, the index which encodes the spatial in...
Nicu Sebe, Michael S. Lew, Dionysius P. Huijsmans
ESWA
2008
127views more  ESWA 2008»
14 years 9 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
ICDE
2006
IEEE
128views Database» more  ICDE 2006»
15 years 3 months ago
Experience of Animate Similarity Concepts in Multimedia Database
— In this paper the authors describe and report an experience related to several applications of the Animate Vision Paradigm to query processing and indexing in multimedia databa...
Massimiliano Albanese, Angelo Chianese, Vincenzo M...
CVPR
2005
IEEE
15 years 11 months ago
Evaluating Image Retrieval
We present a comprehensive strategy for evaluating image retrieval algorithms. Because automated image retrieval is only meaningful in its service to people, performance character...
Nikhil V. Shirahatti, Kobus Barnard
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
15 years 4 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose