2017
DOI: 10.1007/s12046-017-0720-y
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Abstract: The appropriate selection of distinctive keyframes to represent the salient contents of a video is a critical task in video processing applications that rely on content analysis or information retrieval. Although many of the existing keyframe selection techniques perform satisfactorily in capturing salient visual contents, they often fail to adequately highlight the changes in visual information brought about by motion of objects between frames. In this paper, we propose a technique for keyframe selection by f… Show more

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Cited by 2 publications
(19 citation statements)
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References 18 publications
(35 reference statements)
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“…Unlike above, (Murtaza et al, 2018) claimed that the video content could adaptively determine the suitable number of frames, and in a typical video, requires between ten to twenty five frames. We chose ten for window size W similar to Paul et al (2017) algorithm because it reflects the texture and motion features within video shots effectively. And selected the first frame as the first key frames following Paul et al (2017) algorithm.…”
Section: Experiments and Results Analysismentioning
confidence: 99%
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“…Unlike above, (Murtaza et al, 2018) claimed that the video content could adaptively determine the suitable number of frames, and in a typical video, requires between ten to twenty five frames. We chose ten for window size W similar to Paul et al (2017) algorithm because it reflects the texture and motion features within video shots effectively. And selected the first frame as the first key frames following Paul et al (2017) algorithm.…”
Section: Experiments and Results Analysismentioning
confidence: 99%
“…The key frames (KFs) extraction algorithm should provide a compact video summarization with less processing time, and preserve the sufficient information in the video with simple implementation (Cao et al, 2012;Murtaza et al, 2018;Paul et al, 2017). From literature reviews, the key frame extraction algorithm starts by detecting the shot change to segment a video to several shots, then extracts the key frames from each shot (Truong & Venkatesh, 2007).…”
Section: Introductionmentioning
confidence: 99%
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