Switchable video error concealment using encoder driven scene transition detection and edge preserving SEC

Midya, Abhishek; Sengupta, Somnath

doi:10.1007/s11042-013-1739-7

Cited by 6 publications

(2 citation statements)

References 31 publications

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“…Moreover, the frame skipping interval to reduce the number of processed frames in a limited scope and the selection of a fixed interval of 20 frames are unreasonable [ 18 ]. This method is unsuitable for real-time applications because it requires buffering 21 frames [ 12 ]. In addition, it is sensitive to flash, color changes, and object/camera motion because of the application of PBA using luminance to compare two frames [ 18 ].…”

Section: Sbd Approachesmentioning

confidence: 99%

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Methods and Challenges in Shot Boundary Detection: A Review

Abdulhussain

Ramli

Saripan

et al. 2018

Entropy

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Abstract:The recent increase in the number of videos available in cyberspace is due to the availability of multimedia devices, highly developed communication technologies, and low-cost storage devices. These videos are simply stored in databases through text annotation. Content-based video browsing and retrieval are inefficient due to the method used to store videos in databases. Video databases are large in size and contain voluminous information, and these characteristics emphasize the need for automated video structure analyses. Shot boundary detection (SBD) is considered a substantial process of video browsing and retrieval. SBD aims to detect transition and their boundaries between consecutive shots; hence, shots with rich information are used in the content-based video indexing and retrieval. This paper presents a review of an extensive set for SBD approaches and their development. The advantages and disadvantages of each approach are comprehensively explored. The developed algorithms are discussed, and challenges and recommendations are presented.

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Section: Sbd Approachesmentioning

confidence: 99%

“…CBVIR applications have expanded widely. These applications include browsing of video folders, news event analyses, digital museums, intelligent management of videos in VSWs, video surveillance [ 9 ], video error concealment [ 12 ], key frame extraction [ 13 ], and video event partitioning [ 14 ].…”

Section: Introductionmentioning

confidence: 99%