Video Hashing Algorithm With Weighted Matching Based on Visual Saliency

Author

Sun, Jiande ; Wang, Jing ; Zhang, Jie ; Nie, Xiushan ; Liu, Ju

Author_Institution

Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China

Volume

19

Issue

6

fYear

2012

fDate

6/1/2012 12:00:00 AM

Firstpage

328

Lastpage

331

Abstract

In this letter, a novel video hashing algorithm is proposed, in which the weighted hash matching is defined in video hashing for the first time. In the proposed algorithm, the video hash is generated based on the ordinal feature derived from the temporally informative representation image (TIRI). At the same time the representative saliency map (RSM) is constructed by the visual saliency maps in video segments, and it generates the hash weights for hash matching. During hash matching, the traditional bit error rate (BER) is weighted with hash weights to form the weighted error rate (WER). WER is used to measure the similarity between different hashes. Experiments on different kinds of videos with different kinds of attacks verify the robustness and discrimination of the proposed algorithm.

Keywords

cryptography; error statistics; image matching; image segmentation; video signal processing; BER; RSM; TIRI; WER; bit error rate; hash matching; representative saliency map; temporally-informative representation image; video hashing algorithm; video segments; visual saliency; weighted error rate; weighted hash matching; weighted matching; Bit error rate; Educational institutions; Image segmentation; Measurement uncertainty; Robustness; Visualization; Ordinal features; representative saliency map (RSM); video hash; visual saliency; weighted error rate (WER);

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2012.2192271

Filename

6175927