From video summarization to real time video summarization in smart cities and beyond: A survey
With the massive expansion of videos on the internet, searching through millions of them has become quite challenging. Smartphones, recording devices, and file sharing are all examples of ways to capture massive amounts of real time video. In smart cities, there are many surveillance cameras, which...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Big Data |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2022.1106776/full |
| _version_ | 1797956848461021184 |
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| author | Prashant Giridhar Shambharkar Ruchi Goel |
| author_facet | Prashant Giridhar Shambharkar Ruchi Goel |
| author_sort | Prashant Giridhar Shambharkar |
| collection | DOAJ |
| description | With the massive expansion of videos on the internet, searching through millions of them has become quite challenging. Smartphones, recording devices, and file sharing are all examples of ways to capture massive amounts of real time video. In smart cities, there are many surveillance cameras, which has created a massive volume of video data whose indexing, retrieval, and administration is a difficult problem. Exploring such results takes time and degrades the user experience. In this case, video summarization is extremely useful. Video summarization allows for the efficient storing, retrieval, and browsing of huge amounts of information from video without sacrificing key features. This article presents a classification and analysis of video summarization approaches, with a focus on real-time video summarization (RVS) domain techniques that can be used to summarize videos. The current study will be useful in integrating essential research findings and data for quick reference, laying the preliminaries, and investigating prospective research directions. A variety of practical uses, including aberrant detection in a video surveillance system, have made successful use of video summarization in smart cities. |
| first_indexed | 2024-04-10T23:55:14Z |
| format | Article |
| id | doaj.art-0e37abf73868487fae080ab1cb1f7cdf |
| institution | Directory Open Access Journal |
| issn | 2624-909X |
| language | English |
| last_indexed | 2024-04-10T23:55:14Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Big Data |
| spelling | doaj.art-0e37abf73868487fae080ab1cb1f7cdf2023-01-10T13:22:28ZengFrontiers Media S.A.Frontiers in Big Data2624-909X2023-01-01510.3389/fdata.2022.11067761106776From video summarization to real time video summarization in smart cities and beyond: A surveyPrashant Giridhar ShambharkarRuchi GoelWith the massive expansion of videos on the internet, searching through millions of them has become quite challenging. Smartphones, recording devices, and file sharing are all examples of ways to capture massive amounts of real time video. In smart cities, there are many surveillance cameras, which has created a massive volume of video data whose indexing, retrieval, and administration is a difficult problem. Exploring such results takes time and degrades the user experience. In this case, video summarization is extremely useful. Video summarization allows for the efficient storing, retrieval, and browsing of huge amounts of information from video without sacrificing key features. This article presents a classification and analysis of video summarization approaches, with a focus on real-time video summarization (RVS) domain techniques that can be used to summarize videos. The current study will be useful in integrating essential research findings and data for quick reference, laying the preliminaries, and investigating prospective research directions. A variety of practical uses, including aberrant detection in a video surveillance system, have made successful use of video summarization in smart cities.https://www.frontiersin.org/articles/10.3389/fdata.2022.1106776/fullcomputer visionvideo summarizationreal time video summarization (RVS)keyframessummary |
| spellingShingle | Prashant Giridhar Shambharkar Ruchi Goel From video summarization to real time video summarization in smart cities and beyond: A survey Frontiers in Big Data computer vision video summarization real time video summarization (RVS) keyframes summary |
| title | From video summarization to real time video summarization in smart cities and beyond: A survey |
| title_full | From video summarization to real time video summarization in smart cities and beyond: A survey |
| title_fullStr | From video summarization to real time video summarization in smart cities and beyond: A survey |
| title_full_unstemmed | From video summarization to real time video summarization in smart cities and beyond: A survey |
| title_short | From video summarization to real time video summarization in smart cities and beyond: A survey |
| title_sort | from video summarization to real time video summarization in smart cities and beyond a survey |
| topic | computer vision video summarization real time video summarization (RVS) keyframes summary |
| url | https://www.frontiersin.org/articles/10.3389/fdata.2022.1106776/full |
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