Creating Video Visual Storyboard with Static Video Summarization using Fractional Energy of Orthogonal Transforms

The overwhelming number of video uploads and downloads has made it incredibly difficult to find, gather, and archive videos. A static video summarization technique highlights an original video's significant points through a set of static keyframes as a video visual storyboard. The video visual...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2022, Vol.13 (9)
Main Authors: Tonge, Ashvini, Thepade, Sudeep D.
Format: Article
Language:English
Subjects:
Coefficients
Computer engineering
Computer science
Datasets
Energy
Engineering schools
Feature selection
Frames (data processing)
Image processing
Image retrieval
Methods
Summaries
Video data
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Summary:The overwhelming number of video uploads and downloads has made it incredibly difficult to find, gather, and archive videos. A static video summarization technique highlights an original video's significant points through a set of static keyframes as a video visual storyboard. The video visual storyboards are created as static video summaries that solve video processing-related issues like storage and retrieval. In this paper, a strategy for effectively summarizing static videos using the feature vectors, which are fractional coefficients of the transformed video frames, is proposed and evaluated. Four popular orthogonal transforms are deployed for generating feature vectors of video frames. The fractional coefficients of transformed video frames taken as 25 percent, 6.25 percent, and 1.5625 percent of full 100 percent transformed coefficients are considered to form video visual storyboards. The proposed method uses the benchmark video datasets Open Video Project (OVP) and SumMe to validate the performance, containing user summaries (storyboards). These video summaries created using the proposed method are evaluated using percentage accuracy and matching rate.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2022.0130931