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AssigneeNEC Corporation
InventorsYihong Gong, Xin Liu
Estimating the term…
In a technique for video segmentation, classification and summarization based on the singular value decomposition, frames of the input video sequence are represented by vectors composed of concatenated histograms descriptive of the spatial distributions of colors within the video frames. The singular value decomposition maps these vectors into a refined feature space. In the refined feature space produced by the singular value decomposition, the invention uses a metric to measure the amount of information contained in each video shot of the input video sequence. The most static video shot is defined as an information unit, and the content value computed from this shot is used as a threshold to cluster the remaining frames. The clustered frames are displayed using a set of static keyframes or a summary video sequence. The video segmentation technique relies on the distance between the frames in the refined feature space to calculate the similarity between frames in the input video sequence. The input video sequence is segmented based on the values of the calculated similarities. Finally, average video attribute values in each segment are used in classifying the segments.
A method for summarizing a content of an input video sequence, said input video sequence comprising a plurality of frames, said plurality of frames being grouped into a plurality of video segments, said method comprising:
A method for summarizing a content of an input video sequence, said method comprising:
A method for segmenting an input video sequence, said input video sequence comprising a plurality of frames, said plurality of frames being grouped into a plurality of video shots, said method comprising:
A method for determining a similarity between a first and a second frame in an input video sequence, said method comprising:
A computer-readable medium containing a program for summarizing a content of an input video sequence, said input video sequence comprising a plurality of frames, said plurality of frames being grouped into a plurality of video segments, said program comprising:
A computer-readable medium containing a program for summarizing a content of an input video sequence, said program comprising:
A computer-readable medium containing a program for segmenting an input video sequence, said input video sequence comprising a plurality of frames, said plurality of frames being grouped into a plurality of video shots, said program comprising:
A computer-readable medium containing a program for determining a similarity between a first and a second frames in an input video sequence, said program comprising:
A method of calculating a degree of visual changes in a video shot, said video shot comprising a plurality of frames, said method comprising:
A computer-readable medium containing a program for calculating a degree of visual changes in a video shot, said video shot comprising a plurality of frames, said program comprising:
A method of calculating an evenness of color distributions in a video shot, said video shot comprising a plurality of frames, said method comprising:
A computer-readable medium containing a program for calculating an evenness of color distributions in a video shot, said video shot comprising a plurality of frames, said method comprising:
Dependencies are inferred from the claim text.