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» The State of the Art in Image and Video Retrieval
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MVA
2006
205views Computer Vision» more  MVA 2006»
14 years 11 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
ICCV
2007
IEEE
15 years 6 months ago
Non-homogeneous Content-driven Video-retargeting
Video retargeting is the process of transforming an existing video to fit the dimensions of an arbitrary display. A compelling retargeting aims at preserving the viewers’ exper...
Lior Wolf, Moshe Guttmann, Daniel Cohen-Or
SIGIR
2003
ACM
15 years 5 months ago
Automatic image annotation and retrieval using cross-media relevance models
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labo...
Jiwoon Jeon, Victor Lavrenko, R. Manmatha
IPCV
2010
14 years 9 months ago
Video Action Recognition Using Residual Vector Quantization and Hidden Markov Models
In this paper, we discuss usage of a multi-stage Residual Vector Quantization (RVQ) strategy for human action recognition. To the best of our knowledge, this is the first reported...
Salman Aslam, Christopher F. Barnes, Aaron F. Bobi...
ICIP
2002
IEEE
16 years 1 months ago
On the structure of some phase retrieval algorithms
The state of the art for solving the phase retrieval problem in two dimensions relies heavily on the algorithms proposed by Gerchberg, Saxton, and Fienup. Despite the widespread u...
Heinz H. Bauschke, Patrick L. Combettes, D. Russel...