2002
DOI: 10.1109/76.988656
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Shot-boundary detection: unraveled and resolved?

Abstract: Abstract-Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval. A video shot is defined as a series of interrelated consecutive frames taken contiguously by a single camera and representing a continuous action in time and space. As such, shots are considered to be the primitives for higher level content analysis, indexing, and classification. The objective of this paper is twofold. First, we analyze the shot-boundary detection pr… Show more

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Cited by 412 publications
(218 citation statements)
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“…To capture the content changes in a video sequence, most existing approaches first segment the whole video into shots using shot detection methods and then select key frames from each shot [12,13]. The simplest method is to select the first/middle/last frame of each shot as key frames.…”
Section: Related Workmentioning
confidence: 99%
“…To capture the content changes in a video sequence, most existing approaches first segment the whole video into shots using shot detection methods and then select key frames from each shot [12,13]. The simplest method is to select the first/middle/last frame of each shot as key frames.…”
Section: Related Workmentioning
confidence: 99%
“…The various approaches differ in the type of features used. The detection of boundaries between video shots provides a basis for almost all of the existing video segmentation and abstraction methods [1]. However, it is quite difficult to give a precise definition of a video shot transition since many factors such as camera motions may change the video content significantly.…”
Section: Introductionmentioning
confidence: 99%
“…Noticing the weakness (hight sensitivity to the object and camera motions) of pixel differencing methods, many researchers suggested the use of different measures based on global information such as intensity histograms or color histograms [3], [4], [5]. The use of more complex features, such as image edges or motion vectors [6], improves the situation, but does not solve the problem completely [7].…”
Section: Introductionmentioning
confidence: 99%