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In this paper, we show that compression leads to a drop in performance of texture retrieval algorithms, and propose a method that reverses this performance drop ...
ABSTRACT. Almost all images are stored in compressed form, most com- monly in (lossy) JPEG format. In this paper, we show that compression leads to a drop ...
In this paper, we show that compression leads to a drop in performance of texture retrieval algorithms, and propose a method that reverses this performance drop ...
Robust Sparse Hashing. Robust texture retrieval of compressed images. Compact tensor based image representation for similarity search · Semantic-visual concept ...
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A robust compressed domain feature vector for texture based IMAGE retrieval ; types of pictures namely 'I', 'P · GOP is coded without reference to other pictures.
ABSTRACT. Paper addresses the computational aspects of extracting important features directly from compressed images for the purpose of aiding biomedical ...
Abstract. This paper presents a simple, novel, yet very powerful ap- proach for texture classification based on compressed sensing. At the.
“Content-Based Image Retrieval” (CBIR) aims to retrieve images that match precise criteria for colour, shape and texture of a given query image. In the CBIR ...
This paper presents a simple, novel, yet very powerful approach for texture classification based on compressed sensing where a small set of random features ...