A Wavelet Optimized Video Copy Detection Using Content Fingerprinting

The video analysis technique facilitates automatic understanding of visual content and semantic information transmitted by video streams. Video copy detection is enhanced with the comprehensive usage of video analysis techniques and fingerprinting. Numerous literary works utilize content-based finge...

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Bibliographic Details
Published inJournal of signal processing systems Vol. 95; no. 2-3; pp. 363 - 377
Main Authors Preetha, S., Bindu, V. R.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2023
Springer Nature B.V
Subjects
Algorithms
Circuits and Systems
Computer Imaging
Discrete cosine transform
Electrical Engineering
Engineering
Filter banks
Fingerprinting
Fourier transforms
Image coding
Image processing
Image Processing and Computer Vision
Pattern Recognition
Pattern Recognition and Graphics
Search algorithms
Signal,Image and Speech Processing
Video compression
Video data
Video transmission
Vision
Wavelet transforms
Wavelet
Fingerprinting
Video copy detection
Gravitational Search Algorithm (GSA)
Content-Based Copy Detection (CBCD)
Discrete Cosine Transform (DCT)
Online AccessGet full text
ISSN1939-8018
1939-8115
DOI10.1007/s11265-022-01830-y

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Summary:The video analysis technique facilitates automatic understanding of visual content and semantic information transmitted by video streams. Video copy detection is enhanced with the comprehensive usage of video analysis techniques and fingerprinting. Numerous literary works utilize content-based fingerprinting. Extensive conversion of video content from the spatial domain to the frequency domain forms the basis of this technique. Most works have utilized the Discrete Cosine Transform (DCT), its variants, and recently, wavelets have also been used. Wavelet is commonly used for general image processing. The popularly known Daubechies wavelet forms the basis of the majority of current approaches. To improve the video copy detection, optimization of the wavelet filter bank aids in boosting the wavelet performance. A wavelet design method that employs polyphase representation and devises the problem with Gravitational Search Algorithm (GSA) technique has been proposed in this paper. Simulation outcomes demonstrate this proposed technique’s superior performance compared to other techniques.
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ISSN:1939-8018
1939-8115
DOI:10.1007/s11265-022-01830-y