Robust Video Hashing Based on Multidimensional Scaling and Ordinal Measures
| Autor: | Zhenhai Chen, Zhenjun Tang, Shaopeng Zhang, Xianquan Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Scheme (programming language)
Discrete wavelet transform Science (General) Article Subject Multimedia search Computer Networks and Communications Computer science Hash function ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.software_genre Domain (software engineering) Q1-390 Matrix (mathematics) Robustness (computer science) T1-995 Data mining Multidimensional scaling computer Technology (General) Information Systems computer.programming_language |
| Zdroj: | Security and Communication Networks, Vol 2021 (2021) |
| ISSN: | 1939-0122 1939-0114 |
| DOI: | 10.1155/2021/9930673 |
| Popis: | Multimedia hashing is a useful technology of multimedia management, e.g., multimedia search and multimedia security. This paper proposes a robust multimedia hashing for processing videos. The proposed video hashing constructs a high-dimensional matrix via gradient features in the discrete wavelet transform (DWT) domain of preprocessed video, learns low-dimensional features from high-dimensional matrix via multidimensional scaling, and calculates video hash by ordinal measures of the learned low-dimensional features. Extensive experiments on 8300 videos are performed to examine the proposed video hashing. Performance comparisons reveal that the proposed scheme is better than several state-of-the-art schemes in balancing the performances of robustness and discrimination. |
| Databáze: | OpenAIRE |
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