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ACCV
2009
Springer
13 years 9 months ago
Image Classification Using Probability Higher-Order Local Auto-Correlations
Abstract. In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an ext...
Tetsu Matsukawa, Takio Kurita
SPIESR
1997
97views Database» more  SPIESR 1997»
13 years 8 months ago
Multiscale Branch-and-Bound Image Database Search
This paper presents a formal framework for designing search algorithms which can identify target images by the spatial distribution of color, edge and texture attributes. The fram...
Jau-Yuen Chen, Charles A. Bouman, Jan P. Allebach
ICPR
2000
IEEE
14 years 8 months ago
Extraction of Relevant Information from Document Images Using Measures of Visual Attention
This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as tex...
Gerd Maderlechner, Angela Schreyer, Peter Suda
ICCV
2009
IEEE
15 years 15 hour ago
Image Restoration using Online Photo Collections
We present an image restoration method that leverages a large database of images gathered from the web. Given an input image, we execute an efficient visual search to find the c...
Kevin Dale, Micah K. Johnson, Kalyan Sunkavalli, W...
MM
2006
ACM
108views Multimedia» more  MM 2006»
14 years 1 months ago
Video search reranking via information bottleneck principle
We propose a novel and generic video/image reranking algorithm, IB reranking, which reorders results from text-only searches by discovering the salient visual patterns of relevant...
Winston H. Hsu, Lyndon S. Kennedy, Shih-Fu Chang