ViSTORY: Effective Video Storyboard Generation with Visual Keyframes using Discrete Cosine Transform
Nowadays, multimedia content utility is increasing rapidly. Multimedia search engines like Google, Yahoo, Bing, etc., are available just a click away to all users. There are around 500-600 hours of video uploads per unit of time to the Internet. So, among other types of multimedia content, such...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2023-04-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | https://ijtech.eng.ui.ac.id/article/view/5617 |
| Summary: | Nowadays, multimedia content utility is increasing rapidly.
Multimedia search engines like Google, Yahoo, Bing, etc., are available just a
click away to all users. There are around 500-600 hours of video uploads per
unit of time to the Internet. So, among other types of multimedia content, such
as text and images, video is the most complicated content for indexing,
browsing, and retrieval. Videos give more scope for implementation because of
their complex and unstructured nature. This paper proposes a new method of video
storyboard generation with keyframe extraction in spatial and frequency domains
using Discrete Cosine Transform (DCT) for video summarization. It discusses the
empirical appraisal of video visual keyframes with t-test analysis in
comparison with spatial and frequency domains, resulting in a quick response to
customer demands by providing static storyboards. This study proposes a new
performance measure as matching frames by analyzing input videos and the
standard benchmarks video dataset, i.e., Open Video Project (OVP) and SumMe. Among all the keyframe extraction techniques,
DCT gives higher accuracy and a better matching rate. |
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| ISSN: | 2086-9614 2087-2100 |