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Apparatus for detecting a cut in a video
| Details |
Inventors: Liou, Shih-Ping; Loghing, David L.; Arman, Farshid;
Assignee: Siemens Corporate Research, Inc. (Princeton, NJ)
Primary Examiner: Chin; Tommy P.
Assistant Examiner: Le; Vu
Attorney, Agent or Firm: Ahmed; Adel A.
Apparatus for detecting a cut in a video comprises arrangements for acquiring video images from a source, for deriving from the video images a pixel-based difference metric, for deriving from the video images a distribution-based difference metric, and for measuring video content of the video images to provide up-to-date test criteria. Arrangements are included for combining the pixel-based difference metric and the distribution-based difference metric, taking into account the up-to-date test criteria provided so as to derive a scene change candidate signal and for filtering the scene change candidate signal so as to generate a scene change frame list. |
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DETAILED DESCRIPTION What is claimed is: 1.
A method for detecting a cut in a video, comprising the steps of: (a) acquiring video images from a source; (b) deriving from said video images a pixel-based difference metric; (c) deriving from said video images a distribution-based difference metric; (d) measuring video content of said video images to provide up-to-date test criteria by collecting statistics from each DC image and each pair of DC images to represent current video content, being an image contrast and a motion estimate; (e) combining said pixel-based difference metric and said distribution-based difference metric, taking into account said up-to-date test criteria provided in step (d) to derive a scene change candidate signal; and (f) filtering said scene change candidate signal to generate a scene change frame list.
2.
A method for detecting a cut in a video in accordance with claim 1, wherein said pixel-based difference metric for each frame is the summation of an absolute frame difference representative of image intensity value at selected pixel locations in a frame.
3.
A method for detecting a cut in a video in accordance with claim 1, wherein said pixel-based difference represented by a metric for each frame t is the sum of an absolute frame difference, ##EQU23## where f.
sup.
t.
sub.
ij represents the intensity value at pixel location (i,j) in frame t.
4.
A method for detecting a cut in a video in accordance with claim 1, wherein each image is divided into a number of sub-regions and wherein said distribution-based difference metric is a Kolmogorov-Smirnov test metric, said test is carried out for the entire image as well as its sub-regions.
5.
A method for detecting a cut in a video in accordance with claim 1, wherein each image is equally divided into four sub-regions and wherein said distribution-based difference metric is a Kolmogorov-Smirnov test metric, except that one each is computed herein for the entire image as well as said four equally divided sub-regions.
6.
A method for detecting a cut in a video in accordance with claim 1, wherein said step of measuring video content of said video images to provide said up-to-date test criteria provides said step (e) with the ability to automatically adjust to different video contents
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