Video watermarking based on Cuckoo search and scene change detection
Autor: | Kumar Aditya, Akash Choudhary, Mihir Sing, Amrit Raj |
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Rok vydání: | 2017 |
Předmět: |
Change detection algorithms
Computer science business.industry Data_MISCELLANEOUS Digital video ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Nature inspired algorithm 020206 networking & telecommunications 02 engineering and technology 01 natural sciences 010309 optics Robustness (computer science) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Discrete cosine transform Computer vision Artificial intelligence Cuckoo search business Digital watermarking Change detection |
Zdroj: | 2017 International Conference on Intelligent Sustainable Systems (ICISS). |
Popis: | This paper presents Digital Video Watermarking based on Cuckoo Search nature inspired algorithm involving scene change detection. Two famous levy flight algorithms associated with Cuckoo Search algorithm are presented known as Mantegna Algorithm and McCulloch algorithm. In this paper, we explained why cuckoo search algorithm is efficient in digital watermarking followed by watermarking of the video frames only during scene change detection in the video. Finally, we compared the results of both the levy flight algorithms — Mantegna algorithm and McCulloch algorithm on the basis of imperceptibility and robustness of the watermarked image. |
Databáze: | OpenAIRE |
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