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» A Distance Measure for Video Sequence Similarity Matching
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SIGMOD
2005
ACM
109views Database» more  SIGMOD 2005»
16 years 6 months ago
Query-Sensitive Embeddings
A common problem in many types of databases is retrieving the most similar matches to a query object. Finding those matches in a large database can be too slow to be practical, es...
Vassilis Athitsos, Marios Hadjieleftheriou, George...
CAIP
2007
Springer
101views Image Analysis» more  CAIP 2007»
16 years 2 days ago
Target Positioning with Dominant Feature Elements
We propose a dominant-feature based matching method for capturing a target in a video sequence through the dynamic decomposition of the target template. The target template is segm...
Zhuan Qing Huang, Zhuhan Jiang
CGI
2004
IEEE
15 years 9 months ago
Feature-Sensitive 3D Shape Matching
Three dimensional shape matching plays an important role in many of today's applications. Nevertheless, shape matching is a difficult problem since there is no unique measure...
Andrei Sharf, Ariel Shamir
WWW
2007
ACM
16 years 6 months ago
Using Google distance to weight approximate ontology matches
Discovering mappings between concept hierarchies is widely regarded as one of the hardest and most urgent problems facing the Semantic Web. The problem is even harder in domains w...
Risto Gligorov, Warner ten Kate, Zharko Aleksovski...
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
15 years 11 months ago
New Multi-baseline Stereo by Counting Interest Points
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
Tomokazu Sato, Naokazu Yokoya