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» A Hierarchical Visual Model for Video Object Summarization
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CVPR
2007
IEEE
16 years 1 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
SPIESR
2003
230views Database» more  SPIESR 2003»
15 years 1 months ago
Bridging the semantic gap in sports
One of the major challenges facing current media management systems and related applications is the so-called ‘‘semantic gap’’ between the rich meaning that a user desires...
Baoxin Li, James H. Errico, Hao Pan, M. Ibrahim Se...
FUZZY
1997
Springer
166views Fuzzy Logic» more  FUZZY 1997»
15 years 4 months ago
Optimizing Video Signal Processing Algorithms by Evolution Strategies
Today many kinds of postprocessing are used in digital TV receivers or multimedia terminals for video signals to enhance the picture quality. To achieve this the properties of hum...
H. Blume, O. Franzen, M. Schmidt
SIGPRO
2002
132views more  SIGPRO 2002»
14 years 11 months ago
Coding of 3D virtual objects with NURBS
With the advancement of computer graphics in the recent years, an increasing number of pictures, video and 3D content is generated by synthesis processing rather than acquired wit...
Diego Santa Cruz, Touradj Ebrahimi
SIGGRAPH
2010
ACM
15 years 4 months ago
Unstructured video-based rendering: interactive exploration of casually captured videos
We present an algorithm designed for navigating around a performance that was filmed as a “casual” multi-view video collection: real-world footage captured on hand held camer...
Luca Ballan, Gabriel J. Brostow, Jens Puwein, Marc...