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Robust video hashing based on representative-dispersive frames

Science China(Information Sciences) 2013年第6期56卷 216-226页

作者： NIE XiuShan LIU Ju SUN JianDe WANG LianQi YANG XiaoHui School of Information Science and Technology Shandong University of Finance and Economics School of Information Science and Engineering Shandong University Hisense State Key Laboratory of Digital Multi-Media Technology Department of Physics and Astronomy University of California

This study proposes a robust video hashing for video copy *** proposed method,which is based on representative-dispersive frames(R-D frames),can reveal the global and local information of a *** this method,a video is represented as a graph with frames as vertices.A similarity measure is proposed to calculate the weights between *** select R-D frames,the adjacency matrix of the generated graph is constructed,and the adjacency number of each vertex is calculated,and then some vertices that represent the R-D frames of the video are *** reveal the temporal and spatial information of the video,all R-D frames are scanned to constitute an image called video tomography image,the fourth-order cumulant of which is calculated to generate a hash sequence that can inherently describe the corresponding *** results show that the proposed video hashing is resistant to geometric attacks on frames and channel impairments on transmission.

关键词： representative-dispersive frames video hashing video tomography video copy detection

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Perceptual video hashing robust against geometric distortions

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Science China(Information Sciences) 2012年第7期55卷 1520-1527页

作者： XIANG ShiJun 1,4 ,YANG JianQuan 2 & HUANG JiWu 3 1 School of Information Science and Technology,Jinan University,Guangzhou 510632,China 2 Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China 3 School of Information Science and Technology,Sun Yat-sen University,Guangzhou 510275,China 4 State Key Laboratory of Information Security,Institute of Software,Chinese Academy of Sciences,Beijing 100049,China School of Information Science and Technology Jinan University Guangzhou China State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences Beijing China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China School of Information Science and Technology Sun Yat-sen University Guangzhou China

In this paper,we propose a robust perceptual hashing algorithm by using video luminance histogram in *** underlying robustness principles are based on three main aspects:1) Since the histogram is independent of position of a pixel,the algorithm is resistant to geometric deformations; 2) the hash is extracted from the spatial Gaussian-filtering low-frequency component for those common video processing operations such as noise corruption,low-pass filtering,lossy compression,etc.; 3) a temporal Gaussian-filtering operation is designed so that the hash is resistant to temporal desynchronization operations,such as frame rate change and *** a result,the hash function is robust to common geometric distortions and video processing *** results show that the proposed hashing strategy can provide satisfactory robustness and uniqueness.

关键词： video hashing geometric distortion histogram Gaussian filtering

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