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» Image clustering with tensor representation
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MVA
2007
210views Computer Vision» more  MVA 2007»
15 years 5 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
134
Voted
CVPR
2004
IEEE
16 years 5 months ago
Names and Faces in the News
We show quite good face clustering is possible for a dataset of inaccurately and ambiguously labelled face images. Our dataset is 44,773 face images, obtained by applying a face f...
Tamara L. Berg, Alexander C. Berg, Jaety Edwards, ...
CVPR
2010
IEEE
15 years 11 months ago
Interest Seam Image
We propose interest seam image, an efficient visual synopsis for video. To extract an interest seam image, a spatiotemporal energy map is constructed for the target video shot. T...
Xiao Zhang, Gang Hua, Lei Zhang, Heung-Yeung Shum
IWVF
2001
Springer
15 years 8 months ago
Color and Shape Index for Region-Based Image Retrieval
Abstract. Most CBIR systems use low-level visual features for representation and retrieval of images. Generally such methods suffer from the problems of high-dimensionality leadin...
B. G. Prasad, S. K. Gupta, K. K. Biswas
ISMIS
1997
Springer
15 years 8 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira