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ICCV
2003
IEEE
16 years 1 months ago
Video Google: A Text Retrieval Approach to Object Matching in Videos
We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set...
Josef Sivic, Andrew Zisserman
DSSCV
2005
Springer
15 years 4 months ago
Using Top-Points as Interest Points for Image Matching
We consider the use of so-called top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offse...
Bram Platel, Evguenia Balmachnova, Luc Florack, Fr...
IFIP
2001
Springer
15 years 3 months ago
A New Efficient VLSI Architecture for Full Search Block Matching Motion Estimation
: A new efficient type I architecture for motion estimation in video sequences based on the Full-Search Block-Matching (FSBM) algorithm is proposed in this paper. This architecture...
Nuno Roma, Leonel Sousa
ML
2002
ACM
146views Machine Learning» more  ML 2002»
14 years 11 months ago
Kernel Matching Pursuit
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
Pascal Vincent, Yoshua Bengio
TIT
2008
115views more  TIT 2008»
14 years 11 months ago
Affine Reflection Group Codes
This paper presents a construction of Slepian group codes from affine reflection groups. The solution to the initial vector and nearest distance problem is presented for all irred...
Terasan Niyomsataya, Ali Miri, Monica Nevins