A Video Abstraction Model Using a Genetic Algorithm-Reference-Cited by-同舟云学术

A Video Abstraction Model Using a Genetic Algorithm

Published:2012-08 Issue: Volume:562-564 Page:2061-2064
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Wei Zhi Cheng¹

Affiliation:

1. Hebei Normal University

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.562-564.2061.pdf

Reference7 articles.

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