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» CBIR with Perceptual Region Features
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CVPR
2012
IEEE
11 years 8 months ago
Saliency filters: Contrast based filtering for salient region detection
Saliency estimation has become a valuable tool in image processing. Yet, existing approaches exhibit considerable variation in methodology, and it is often difficult to attribute...
Federico Perazzi, Philipp Krähenbühl, Ya...
ICIP
2006
IEEE
14 years 7 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
SAC
2002
ACM
13 years 5 months ago
Color patterns for pictorial content description
In this paper, we propose a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive feature...
Daniela Stan, Ishwar K. Sethi
IWVF
2001
Springer
13 years 10 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
VCIP
2003
238views Communications» more  VCIP 2003»
13 years 7 months ago
Texture segmentation based on features in wavelet domain for image retrieval
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
Ying Liu, Si Wu, Xiaofang Zhou