A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection

Thounaojam, Dalton Meitei; Thongam, Khelchandra; Singh, Kh. Manglem; Roy, Sudipta

doi:10.1155/2016/8469428

Cited by 37 publications

(10 citation statements)

References 18 publications

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“…Gradual sequences were obtained by computing the maximum and minimum difference sequences between the overall block and each block. These gradual sequences show more distinct parabolic shapes compared with variance sequence frames (Thounaojam et al, 2016).…”

Section: Finding the Minimum Distance Between Sequencesmentioning

confidence: 93%

“…In the perspective of visual aspect, video is a kind of three-dimensional signal in which two of them reveal the visual content in the horizontal and vertical frame direction, and the third one reveals the variations of the visual content over the time axis. SBD is mainly based on the representation of visual content, construction of continuity signal and classification of continuity values (Thounaojam et al, 2016;Tippaya et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Gradual transition detection in shot boundary using gradual curve point

Prabavathy

Shree²

2018

J. Natn. Sci. Foundation Sri Lanka

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Video shot boundary detection (SBD) is a fundamental step in automatic video content analysis. Gradual transition is based on the gradual curves characterised by distribution of average edge information in the sequence of frames. An average edge frame is obtained from optimal edge detector. Features are extracted based on the minimum difference between the sequences of frames. The minimum variance in the local frame sequence is chosen as a gradual curve point. Finally, the performance is computed based on the precision (quality) and recall (quantity) value.

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Section: Finding the Minimum Distance Between Sequencesmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Gradual transition detection in shot boundary using gradual curve point

Prabavathy

Shree²

2018

J. Natn. Sci. Foundation Sri Lanka

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“…Yoo et al [12] suggested the variance distribution of edge information as feature for gradual transition detection. By considering a block of frames, the edge strength is extracted using orthogonal vectors by [13]. This approach oversees the effects of fast motion and lighting in the video.…”

Section: Fig 1 General Structure Of a Videomentioning

confidence: 99%

“…They also considered compressed domain techniques like MPEG algorithms in their review, since the compressed domain has become ascendant in video analysis. The temporal video segmentation in compressed domain extracts the features from DCT coefficients and motion strength [21][22][23]. However, computational efficiency is high whereas, the histogram approaches are better in performance.…”

Section: Literature Reviewmentioning

confidence: 99%

An Efficient and Robust Temporal Video Segmentation

Jose*¹,

Rajkumar²

2019

IJEAT

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Temporal video segmentation is the primary step of content based video retrieval. The whole processes of video management are coming under the focus of content based video retrieval, which includes, video indexing, video retrieval, and video summarization etc. In this paper, we proposed a computationally efficient and discriminating shot boundary detection method, which uses a local feature descriptor named local Contrast and Ordering (LCO) for feature extraction. The results of the experiments, which are conducted on the video dataset TRECVid, analyzed and compared with some existing shot boundary detection methods. The proposed method has given a promising result, even in the cases of illumination changes, rotated images etc.

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“…Thounaojam et al [ 85 ] proposed a shot detection approach based on genetic algorithm (GA) and fuzzy logic. The membership functions of the fuzzy system were computed with the use of GA by considering pre-observed values for shot boundaries.…”

Section: Sbd Approachesmentioning

confidence: 99%

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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A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection

Cited by 37 publications

References 18 publications

Gradual transition detection in shot boundary using gradual curve point

Gradual transition detection in shot boundary using gradual curve point

An Efficient and Robust Temporal Video Segmentation

Methods and Challenges in Shot Boundary Detection: A Review

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