Dataset Information

A method of protein model classification and retrieval using bag-of-visual-features.

ABSTRACT: In this paper we propose a novel visual method for protein model classification and retrieval. Different from the conventional methods, the key idea of the proposed method is to extract image features of proteins and measure the visual similarity between proteins. Firstly, the multiview images are captured by vertices and planes of a given octahedron surrounding the protein. Secondly, the local features are extracted from each image of the different views by the SURF algorithm and are vector quantized into visual words using a visual codebook. Finally, KLD is employed to calculate the similarity distance between two feature vectors. Experimental results show that the proposed method has encouraging performances for protein retrieval and categorization as shown in the comparison with other methods.

SUBMITTER: Ma J

PROVIDER: S-EPMC4165735 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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A method of protein model classification and retrieval using bag-of-visual-features.

Ma Jinlin J Ma Ziping Z Kang Baosheng B Lu Ke K

Computational and mathematical methods in medicine 20140901

In this paper we propose a novel visual method for protein model classification and retrieval. Different from the conventional methods, the key idea of the proposed method is to extract image features of proteins and measure the visual similarity between proteins. Firstly, the multiview images are captured by vertices and planes of a given octahedron surrounding the protein. Secondly, the local features are extracted from each image of the different views by the SURF algorithm and are vector qua ...[more]

PMID: 25258644

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Dataset Information

A method of protein model classification and retrieval using bag-of-visual-features.

Publications

A method of protein model classification and retrieval using bag-of-visual-features.

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