Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10233
Title: | Video Segmentation using Deep Learning |
Authors: | Seth, Arjun Jaiswal, Anshul Garg, Pardeep [Guided by] Kanji, Rakesh [Guided by] |
Keywords: | Video segmentation Deep learning visual signal processing |
Issue Date: | 2023 |
Publisher: | Jaypee University of Information Technology, Solan, H.P. |
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. |
Description: | Enrollment No. 191407, 191411 |
URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10233 |
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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