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Mathematical Problems in Engineering
Volume 2013, Article ID 453278, 11 pages
Research Article

Frame Interpolation Based on Visual Correspondence and Coherency Sensitive Hashing

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

Received 12 March 2013; Accepted 16 June 2013

Academic Editor: Chengjin Zhang

Copyright © 2013 Lingling Zi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The technology of frame interpolation can be applied in intelligent monitoring systems to improve the quality of surveillance video. In this paper, a region-guided frame interpolation algorithm is proposed by introducing two innovative improvements. On the one hand, a detection approach is presented based on visual correspondence for detecting the motion regions that correspond to attracted objects in video sequences, which can narrow the prediction range of interpolated frames. On the other hand, spatial and temporal mapping rules are proposed using coherency sensitive hashing, which can obtain more accurate predicted values of interpolated pixels. Experiments show that the proposed method can achieve encouraging performance in terms of visual quality and quantitative measures.