A Classification Approach to Video Shot Boundary Detection
نویسندگان
چکیده
منابع مشابه
Video Shot Boundary Detection
The increasing use of multimedia streams nowadays necessitates the development of efficient and effective methodologies for manipulating databases storing this information. Moreover, in its first stage, content-based access to video data requires parsing of each video stream into its building blocks. The video stream consists of a number of shots, each one a sequence of frames pictured using a ...
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We present a newly developed algorithm for automatically segmenting videos into basic shot units. A basic shot unit can be understood as an unbroken sequence of frames taken from one camera. At first we calculate the frame difference by using the local histogram comparison, and then we dynamically scale the frame difference by Log-formula to compress and enhance the frame difference. Finally we...
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Shot boundary detection (SBD) is the rst fundamental step to managing video databases. It segments video data into the basic units for indexing and retrieval. Many automatic SBD techniques exist. They, however, are based on sequential search, and therefore too expensive for practical use. To address this problem, we explore a di erent direction to SBD in this paper. We investigate a non-linear ...
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Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. Few published studies compare available algorithms, and those that do have looked at limited range of test material. This paper presents a comparison of several shot boundary detection and classification techniques and their variations including histograms, discrete cosine tran...
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It is very important to detect shot boundary accurately and quickly in a large number of news video data. Therefore, we proposed a new method with dual-detection model. The method is divided into two stages, i.e. predetection and re-detection. In the pre-detection stage, the uneven blocked differences based on the feature of human vision are presented and used in adaptive binary search to detec...
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ژورنال
عنوان ژورنال: International Journal of Signal Processing, Image Processing and Pattern Recognition
سال: 2017
ISSN: 2005-4254,2005-4254
DOI: 10.14257/ijsip.2017.10.12.08