International Conference on Circuits, Communication, Control and Computing 2014
DOI: 10.1109/cimca.2014.7057840
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Reducing redundancy in videos using reference frame and clustering technique of key frame extraction

Abstract: Digital video is becoming an emerging force in current computer and telecommunication industries for its large mass of data. Video segmentation and key-frame extraction have become crucial for the development of advanced digital video systems. Key frame extraction is a very useful technique to provide a concise access to the video content and is the first step towards efficient browsing and retrieval in video databases. Existing approaches are either computationally expensive or ineffective in capturing salien… Show more

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Cited by 5 publications
(2 citation statements)
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References 10 publications
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“…Consequently, an advanced contrast sensitivity function, derived from the attention‐driven foveation mechanism, was modelled and then integrated into a wavelet‐based distortion visibility measure to build a full reference attention‐driven foveated video quality metric. Nasreen and Shobha [15] proposed a system that involves two main methods for extracting keyframes: (i) reference frame‐based method and (ii) correlation clustering algorithm. In the filtering phase, first a global threshold is used for all the frames of the video to eliminate redundancy to a large extent.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Consequently, an advanced contrast sensitivity function, derived from the attention‐driven foveation mechanism, was modelled and then integrated into a wavelet‐based distortion visibility measure to build a full reference attention‐driven foveated video quality metric. Nasreen and Shobha [15] proposed a system that involves two main methods for extracting keyframes: (i) reference frame‐based method and (ii) correlation clustering algorithm. In the filtering phase, first a global threshold is used for all the frames of the video to eliminate redundancy to a large extent.…”
Section: Literature Reviewmentioning
confidence: 99%
“…an information viewer narrating news story, replay in sporting activities, lecture videos, etc.. This results in several redundant representative frames [6] [10]. To get rid of these repetitive crucial frameworks, a filtering system action is carried out, where each representative frame is compared to every other representative frame to discover the duplicate or near-duplicate structures [14] [15].…”
Section: Extraction Of Ultimate Representative Frames Using and Roughmentioning
confidence: 99%