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http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10233
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DC Field | Value | Language |
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dc.contributor.author | Seth, Arjun | - |
dc.contributor.author | Jaiswal, Anshul | - |
dc.contributor.author | Garg, Pardeep [Guided by] | - |
dc.contributor.author | Kanji, Rakesh [Guided by] | - |
dc.date.accessioned | 2023-10-07T10:06:56Z | - |
dc.date.available | 2023-10-07T10:06:56Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10233 | - |
dc.description | Enrollment No. 191407, 191411 | en_US |
dc.description.abstract | One of the key areas of visual signal processing research is now video segmentation. The goal of Applications of Video Segmentation is to cover the theoretical frameworks, practical applications, and emerging techniques of video analysis and computer vision communities while presenting the most recent developments in methods for segmenting and analysing videos. Pattern recognition in computer vision, and the transformation of digital material, segmentation is crucial. Segmenting images and videos are a job that arises in a variety of application domains, including interpreting images, analysing videos, and comprehension, digital entertainment, video indexing and summarising. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Video segmentation | en_US |
dc.subject | Deep learning | en_US |
dc.subject | visual signal processing | en_US |
dc.title | Video Segmentation using Deep Learning | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Video Segmentation using Deep Learning.pdf | 1.57 MB | Adobe PDF | View/Open |
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