Transcale Interpolation Model Based on Visual Saliency Detection

doi:10.13190/j.jbupt.2014.03.006

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (3): 27-31.doi: 10.13190/j.jbupt.2014.03.006

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Transcale Interpolation Model Based on Visual Saliency Detection

ZI Ling-ling^1,2, DU Jun-ping¹, WANG Qian¹

1. Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. School of Electronic and Information Engineering, Liaoning Technical University, Liaoning Huludao 125105, China

Received:2013-09-23 Online:2014-06-28 Published:2014-06-08

Abstract

Abstract:

In order to improve the perception ability of multimedia processing, a transcale interpolation model is proposed for the dynamic image sequences. Firstly, the visual attention regions are obtained by utilizing visual saliency detection from the viewpoint of users, so as to determine the outstanding regions of dynamic image sequences. Secondly, coherency sensitive hashing is adopted and high quality interpolation frames are generated when the time scale is changed. Finally, the energy function of the target images is defined, so the quality of visual attention regions could be improved when the resolution scale is changed. Experiments show that the proposed model achieves better interpolation results.

Key words: transcale, interpolation model, visual saliency detection, image sequences

CLC Number:

TP391

ZI Ling-ling, DU Jun-ping, WANG Qian. Transcale Interpolation Model Based on Visual Saliency Detection[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(3): 27-31.

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Transcale Interpolation Model Based on Visual Saliency Detection

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