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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Saikia, N. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of ETE, Assam Eng. Coll., Guwahati, India (Saikia, N.) |
| Abstract | Arobust or perceptual hash function computes hashes of videos based on their perceptual contents. Two basic requirements for such hash function are the robustness against content-preserving operations and the sensitivity to dissimilar contents of distinct videos. This paper presents a new hash function that applies the 3D discrete wavelet transform on a group-of-frames and extracts a hash of it from the spatio-temporal low-pass band. The discrete cosine transform is applied on the 1D representation of the spatio-temporal low-pass band for decorrelation, and the transform coefficients in the mid-frequency region are used for hash computation. Experimental results show the robustness of the hash function against the content-preserving operations and the sensitivity to content differences in distinct videos. |
| Starting Page | 694 |
| Ending Page | 698 |
| File Size | 201288 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781467379106 |
| DOI | 10.1109/ICGCIoT.2015.7380552 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-08 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical fibers Video coding Image segmentation Sensitivity Robustness Discrete cosine transforms Videos |
| Content Type | Text |
| Resource Type | Article |
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