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CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 8 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
CSUR
1999
96views more  CSUR 1999»
15 years 6 months ago
Informedia Experience-on-Demand: Capturing, Integrating and Communicating Experiences across People, Time and Space
The Informedia Experience-on-Demand system uses speech, image, and natural language processing combined with GPS information to capture, integrate, and communicate personal multim...
Howard D. Wactlar, Michael G. Christel, Alexander ...
CIVR
2010
Springer
227views Image Analysis» more  CIVR 2010»
15 years 4 months ago
Evaluating detection of near duplicate video segments
The automatic detection of near duplicate video segments, such as multiple takes of a scene or different news video clips showing the same event, has received growing research int...
Werner Bailer
ICIAR
2009
Springer
16 years 1 months ago
Image and Video Retargetting by Darting
This paper considers the problem of altering an image by imperceptibly adding or removing pixels, for example, to fit a differently shaped frame with minimal loss of interesting ...
Matthew Brand
CIVR
2006
Springer
126views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Semantics Supervised Cluster-Based Index for Video Databases
High-dimensional index is one of the most challenging tasks for content-based video retrieval (CBVR). Typically, in video database, there exist two kinds of clues for query: visual...
Zhiping Shi, Qingyong Li, Zhiwei Shi, Zhongzhi Shi