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Review Papers | Computer Engineering | India | Volume 13 Issue 1, January 2024 | Rating: 5.1 / 10
State-of-the-Art Techniques for Real-Time Video Segmentation: A Review
A. M. Bhugul-Rajurkar | Dr. V. S. Gulhane
Abstract: A key stage in video processing is video segmentation, which allows videos to be divided into frames for use in applications like video analysis, coding, and editing. Video segmentation can be done using multiple state-of-the-art traditional methods. However, the suitability of various approaches varies when it comes to real-time video processing. Because video data is dynamic, real-time video analysis faces numerous difficulties. The real-time identification and extraction of objects or regions of interest from a video stream has distinct problems since it requires great efficiency and low latency. This paper aims to address these problems by examining certain real-time video segmentation techniques. This study provides insight into the applicability of these strategies to real-time video settings by assessing the effectiveness and efficiency of these methods. We have done study of a few state-of-art video segmentation techniques presented in this paper. The review research that comes from this study will be very helpful to academics and practitioners in their search for the finest real-time video object detection and tracking systems.
Keywords: Segmentation, Video Processing, Real Time
Edition: Volume 13 Issue 1, January 2024,
Pages: 1049 - 1056