Title :
Video summarization support by Interactive Evolutionary Computation
Author :
Nakamura, Hiroshi ; Ono, Satoshi
Author_Institution :
Dept. of Inf. Sci. & Biomed. Eng., Kagoshima Univ., Kagoshima, Japan
Abstract :
This paper proposes a video summarization support method using Interactive Evolutionary Computation (IEC). The proposed method allows a user, a producer of summarized video, to summarize the video according to the user´s preference. To achieve this, this method evaluates a solution on basis of qualitative (user preference) and quantitative (video features) criteria. Experimental results have shown the effectiveness of the proposed method.
Keywords :
evolutionary computation; video signal processing; interactive evolutionary computation; qualitative criteria; quantitative criteria; user preference; video features; video summarization support method; Color; Evolutionary computation; Histograms; IEC; Image color analysis; Motion pictures; NIST; Genetic Algorithm; Interactive Evolutionary Computation; Video Digest; Video Summarization;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
DOI :
10.1109/SCIS-ISIS.2014.7044675
