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ECCV
2004
Springer
14 years 6 months ago
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations
Abstract. A dynamic visual search framework based mainly on innerscene similarity is proposed. Algorithms as well as measures quantifying the difficulty of search tasks are suggest...
Tamar Avraham, Michael Lindenbaum
PAMI
2006
146views more  PAMI 2006»
13 years 4 months ago
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds
A visual search is required when applying a recognition process on a scene containing multiple objects. In such cases, we would like to avoid an exhaustive sequential search. This...
Tamar Avraham, Michael Lindenbaum
IEEEMSP
2002
IEEE
181views Multimedia» more  IEEEMSP 2002»
13 years 9 months ago
Combining stereo and visual hull information for on-line reconstruction and rendering of dynamic scenes
—In this paper, we present a novel system which combines depth-from-stereo and visual hull reconstruction for acquiring dynamic real-world scenes at interactive rates. First, we ...
Hartmut Schirmacher, Ming Li, Marcus A. Magnor, Ha...
SMI
2003
IEEE
172views Image Analysis» more  SMI 2003»
13 years 9 months ago
Skeleton Based Shape Matching and Retrieval
In this paper, we describe a novel method for searching and comparing 3D objects. The method encodes the geometric and topological information in the form of a skeletal graph and ...
H. Sundar, Deborah Silver, Nikhil Gagvani, Sven J....
WWW
2011
ACM
12 years 11 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma