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» A multi-exposure image fusion algorithm without ghost effect
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ICASSP
2011
IEEE
12 years 8 months ago
A multi-exposure image fusion algorithm without ghost effect
This paper proposes a new multi-exposure fusion algorithm for HDR imaging. The advantage of the fusion based method is that it does not actually generate HDR images so that the co...
Jaehyun An, Sang Heon Lee, Jung Gap Kuk, Nam Ik Ch...
ICIP
2009
IEEE
13 years 2 months ago
Automatic scene relighting for video conferencing
This paper describes a new method to automatically improve scene lighting for video conferencing by learning the photometric mapping between a lower exposure and desired exposure ...
Stephen Mangiat, Jerry Gibson
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
13 years 6 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
MM
2006
ACM
164views Multimedia» more  MM 2006»
13 years 10 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin