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MTA
2000
165views more  MTA 2000»
13 years 5 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
AMR
2005
Springer
106views Multimedia» more  AMR 2005»
13 years 11 months ago
Surface Features in Video Retrieval
This paper assesses the usefulness of surface features in a multimedia retrieval setting. Surface features describe the metadata or structure of a document rather than the content....
Thijs Westerveld, Arjen P. de Vries, Georgina Ram&...
MM
2003
ACM
146views Multimedia» more  MM 2003»
13 years 10 months ago
Supporting timeliness and accuracy in distributed real-time content-based video analysis
Real-time content-based access to live video data requires content analysis applications that are able to process the video data at least as fast as the video data is made availab...
Viktor S. Wold Eide, Frank Eliassen, Ole-Christoff...
ICDAR
2011
IEEE
12 years 5 months ago
Edge-Based Features for Localization of Artificial Urdu Text in Video Images
—Content-based video indexing and retrieval has become an interesting research area with the tremendous growth in the amount of digital media. In addition to the audio-visual con...
Akhtar Jamil, Imran Siddiqi, Fahim Arif, Ahsen Raz...
MVA
2006
205views Computer Vision» more  MVA 2006»
13 years 5 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town