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» Measuring and Predicting Object Importance
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ICMCS
2000
IEEE
136views Multimedia» more  ICMCS 2000»
15 years 3 months ago
Low-Level Motion Activity Features for Semantic Characterization of Video
Efficient methods of content characterization for the browsing, retrieval or filtering of vast amount of digital video content has become a necessity. Still, there is a gap betwee...
Kadir A. Peker, A. Aydin Alatan, Ali N. Akansu
SIMVIS
2004
15 years 16 days ago
Evaluation and Optimization of Laser Scan Data
The digitalization of objects from the real world is of great importance, e. g., in many multimedia applications, in 3D computer graphics, and in industrial measurement. In partic...
Christian Teutsch, Erik Trostmann, Michael Weber, ...
CVPR
2003
IEEE
16 years 1 months ago
Many-to-Many Graph Matching via Metric Embedding
Graph matching is an important component in many object recognition algorithms. Although most graph matching algorithms seek a one-to-one correspondence between nodes, it is often...
Yakov Keselman, Ali Shokoufandeh, M. Fatih Demirci...
CVPR
2008
IEEE
16 years 1 months ago
Multi-label image segmentation via point-wise repetition
Bottom-up segmentation tends to rely on local features. Yet, many natural and man-made objects contain repeating elements. Such structural and more spread-out features are importa...
Gang Zeng, Luc J. Van Gool
ICCAD
2005
IEEE
100views Hardware» more  ICCAD 2005»
15 years 8 months ago
Performance-centering optimization for system-level analog design exploration
In this paper we propose a novel analog design optimization methodology to address two key aspects of top-down system-level design: (1) how to optimally compare and select analog ...
Xin Li, Jian Wang, Lawrence T. Pileggi, Tun-Shih C...