tailieunhanh - Particle swarm optimisation based video abstraction

Video abstraction is a basic step for intelligent access to video and multimedia databases which facilitates content-based video indexing, retrieving and browsing. This paper presents a new video abstraction scheme. The proposed method relies on two stages. First, video is divided into short segments. Second, keyframes in each segment are selected using particle swarm optimisation. A group of experiments show that the proposed technique is promising in regards to selecting the most significant keyframes despite a sustainment in overhead processing. | Journal of Advanced Research 2010 1 163-167 Cairo University Journal of Advanced Research ORIGINAL ARTICLE Particle swarm optimisation based video abstraction Magda B. Fayka Heba A. El Nemrb Mona M. Moussab a Computer Engineering Department Cairo University Egypt b Computers and Systems Department Electronics Research Institute Egypt Available online 6 March 2010 KEYWORDS Keyframes selection Video summarisation Video abstraction Particle swarm optimisation Abstract Video abstraction is a basic step for intelligent access to video and multimedia databases which facilitates content-based video indexing retrieving and browsing. This paper presents a new video abstraction scheme. The proposed method relies on two stages. First video is divided into short segments. Second keyframes in each segment are selected using particle swarm optimisation. A group of experiments show that the proposed technique is promising in regards to selecting the most significant keyframes despite a sustainment in overhead processing. 2010 Cairo University. All rights reserved. Introduction The rapid growth of video and multimedia databases has invoked the need for efficient retrieval and browsing systems able to handle large amounts of visual information. Crucially the rich content of videos cannot be expressed using a text-based approach while the strong temporal correlation of video frames means that examination of each frame is an inefficient means of providing a representation. Therefore video abstraction is here discussed as a means to generate a short summary of the video as either a group of stationary keyframes or moving images video skims . Keyframes are essential in order to enable fast visualisation efficient browsing and similarity-based retrieval but also for further processing and video indexing via facial detection or other useful image descriptor extraction 1 . Two basic steps are normally followed in the selection of representative keyframes dividing the video into segments .

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