scispace - formally typeset
Open AccessJournal ArticleDOI

Video Summarization: Survey on Event Detection and Summarization in Soccer Videos

Reads0
Chats0
TLDR
There is a broad perspective for further research in this field of video summarization, as soccer is the world’s most famous game played and watched and it is taken as a case study.
Abstract
In today's world, the rapid development of digital video and editing technology has led to fast growing of video data, creating the need for effective and advanced techniques for analysis and video retrieval, as multimedia repositories have made browsing, delivery of contents (video) and video retrieval very slow. Hence, video summarization proposes various ways for faster browsing among a large amount of data and also for content indexing. Many people spend their free time to watch or play different sports like soccer, cricket, etc. but it is not possible to watch each and every game due to the longer timing of the game. In such cases, the users may just want to view the summary of the video that is just an abstract of the original video, instead of watching the whole video that provides more information about the occurrence of various incidents in the video. It is preferable to watch just highlights of the game or just review/trailer of a movie. Apparently, summarizing a video is an important process. In this paper, video summarization approaches are discussed, that can generate static or dynamic summaries. We present different techniques for each mode in literature. We have discussed some features used for generating video summaries. As soccer is the world’s most famous game played and watched, it is taken as a case study. Research done in this domain is discussed. We conclude that there is a broad perspective for further research in this field.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

EmotionCues : Emotion-Oriented Visual Summarization of Classroom Videos

TL;DR: EmpirCues, a visual analytics system to easily analyze classroom videos from the perspective of emotion summary and detailed analysis, which integrates emotion recognition algorithms with visualizations is proposed.
Journal ArticleDOI

A study on various methods used for video summarization and moving object detection for video surveillance applications

TL;DR: This paper provides the various methods used for video summarization and a comparative study of different techniques and presents different object detection, object classification and object tracking algorithms available in the literature.
Journal ArticleDOI

Techniques and applications for soccer video analysis: A survey

TL;DR: A thorough review of the existing types of soccer analysis applications and the techniques used in each one of them, along with the apparent recent technical trends identified from the most recent works, and discuses the challenges in soccer analysis that still remain unsolved.
Proceedings ArticleDOI

Towards Comprehensive Understanding of Event Detection and Video Summarization Approaches

TL;DR: Various techniques for summarization and unusual event detection in video are discussed and the current scenario of research in this area is presented.
References
More filters
Journal ArticleDOI

Content-based multimedia information retrieval: State of the art and challenges

TL;DR: This survey reviews 100+ recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques.
Book

Digital Video Processing

TL;DR: Digital Video Processing, Second Edition, reflects important advances in image processing, computer vision, and video compression, including new applications such as digital cinema, ultra-high-resolution video, and 3D video.
Journal ArticleDOI

Automatic soccer video analysis and summarization

TL;DR: The proposed framework includes some novel low-level processing algorithms, such as dominant color region detection, robust shot boundary detection, and shot classification, as well as some higher-level algorithms for goal detection, referee detection,and penalty-box detection.
Related Papers (5)