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116
Voted
CVPR
2008
IEEE
16 years 5 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
CVPR
2003
IEEE
16 years 5 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
MTA
2008
146views more  MTA 2008»
15 years 3 months ago
A survey of browsing models for content based image retrieval
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Daniel Heesch
SSIAI
2000
IEEE
15 years 7 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
124
Voted
CVPR
2008
IEEE
16 years 5 months ago
Utilizing semantic word similarity measures for video retrieval
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Yusuf Aytar, Mubarak Shah, Jiebo Luo