A Video Abstraction Model Using a Genetic Algorithm

Zhi Cheng Wei

doi:10.4028/www.scientific.net/AMR.562-564.2061

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564A Video Abstraction Model Using a Genetic...

A Video Abstraction Model Using a Genetic Algorithm

Abstract:

In this paper, we present a standard genetic algorithm (SGA) based video abstraction framework, which can adaptively sample video frames in non-uniform way. We formulate the video abstraction as an optimization problem and apply a SGA in the feature space for video abstraction. The video abstraction is accomplished by applying genetic algorithm to search key frames from similar visual content source so that only a small but meaningful amount of information is retained. Experimental results and comparisons are presented to show good performance of our scheme on video static summarization and video skimming.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

2061-2064

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.2061

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Online since:

August 2012

Authors:

Zhi Cheng Wei

Keywords:

Genetic Algorithm (GA), Video Abstraction

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