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Highlight scene extraction in real time from baseball live video

Yasuo Ariki, Masahito Kumano, Kiyoshi Tsukada
2003 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval - MIR '03  
This paper proposes a method to automatically extract highlight scenes from sports (baseball) live video in real time and to allow users to retrieve them.  ...  Image processing detects, also in real time, the pitcher scenes and extracts pitching sections starting from a pitcher scene and ending at the successive pitcher scene.  ...  The purpose of this study is to automatically extract indices from sports (baseball) live video in real time for highlight scene retrieval just after their occurrences.  ... 
doi:10.1145/973264.973297 dblp:conf/mir/ArikiKT03 fatcat:f4e6e2axxvcwbhxt5zhr72jc3q

Video Scene Annotation Based on Web Social Activities

Daisuke Yamamoto, Tomoki Masuda, Shigeki Ohira, Katashi Nagao
2008 IEEE Multimedia  
The metadata are extracted by our proposed bursty feature extraction algorithm, and it provides immediate but rich summaries of live TV contents.  ...  This paper presents a practical application of interactive TV in baseball watching. It has two features.  ...  A mobile, the most representative private display, presents alternative video streams from different camera angles, highlights and group chats.  ... 
doi:10.1109/mmul.2008.67 fatcat:7okizag55ncolbepkbuhywwqye

Real-time view recognition and event detection for sports video

Di Zhong, Shih-Fu Chang
2004 Journal of Visual Communication and Image Representation  
We have developed robust statistical models for detecting the domain-specific views with real-time performance and high accuracy.  ...  The real-time performance was accomplished by using efficient compressed-domain processing at the front end and computational expensive object-level processing on filtered candidates only.  ...  The real-time capability in generating event indices is critical in practical applications for live sports videos.  ... 
doi:10.1016/j.jvcir.2004.04.009 fatcat:gqiwvzs3yzfrbk55b4zfkinbs4

Structure analysis of sports video using domain models

Di Zhong, Shih-Fu Chang
2001 IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.  
In this paper, we present an effective framework for scene detection and structure analysis for sports videos, using tennis and baseball as examples.  ...  Real time processing performance is achieved by utilizing compressed-domain processing techniques.  ...  Furthermore, despite of using advanced segmentation and feature extraction, our scene detection and verification process is performed in real time when tested over CIFsized 30 fps MPEG-1 video on a regular  ... 
doi:10.1109/icme.2001.1237820 dblp:conf/icmcs/ZhongC01 fatcat:rtebz4b2gvcf3lsrrcvjgh53fe

A Survey of Content-Aware Video Analysis for Sports

Huang-Chia Shih
2018 IEEE transactions on circuits and systems for video technology (Print)  
Specifically, we focus on the video content analysis techniques applied in sportscasts over the past decade from the perspectives of fundamentals and general review, a content hierarchical model, and trends  ...  Previous surveys have focused on the methodologies of sports video analysis from the spatiotemporal viewpoint instead of a content-based viewpoint, and few of these studies have considered semantics.  ...  Regarding the structure of a baseball video, the critical events conventionally occur between pitch scene blocks [147] , [153] , [159] . 4) Highlight Detection Highlights are critical events in a  ... 
doi:10.1109/tcsvt.2017.2655624 fatcat:rwqzu46sgfb7tpkcav4ysmh6ae

Replay Scene Based Sports Video Abstraction [chapter]

Jian-quan Ouyang, Jin-tao Li, Yong-dong Zhang
2005 Lecture Notes in Computer Science  
Further, in sports video, replay scene often demonstrates the highlight of the video. The detection of replay scene in the sports video is a key clue to sports video summarizing.  ...  It can achieve real time performance in the MPEG compressed domain, which is validated by experimental results.  ...  For working on features directly from the MPEG compressed domain, it can perform in real time.  ... 
doi:10.1007/11540007_84 fatcat:lpvo7lyrb5bazexos7vjshj3gi

Detection of Biased Broadcast Sports Video Highlights by Attribute-Based Tweets Analysis [chapter]

Takashi Kobayashi, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase
2013 Lecture Notes in Computer Science  
We propose a method for detecting biased-highlights in a broadcast sports video according to viewers' attributes obtained from a large number of tweets.  ...  Recently, Twitter is widely used to make real-time play-by-play comments on TV programs, especially on sports games.  ...  Parts of this work were supported by the Grants-in-Aid for Scientific Research.  ... 
doi:10.1007/978-3-642-35728-2_35 fatcat:3t3sz5kscvbsvdoppwtfrjozze

A framework for flexible summarization of racquet sports video using multiple modalities

Chunxi Liu, Qingming Huang, Shuqiang Jiang, Liyuan Xing, Qixiang Ye, Wen Gao
2009 Computer Vision and Image Understanding  
Finally, by using the affective features extracted from the detected events, a linear highlight model is adopted to rank the detected events in terms of their exciting degrees.  ...  While most existing sports video research focuses on detecting event from soccer and baseball etc., little work has been contributed to flexible content summarization on racquet sports video, e.g. tennis  ...  [6] proposed a unified framework to extract highlight from baseball, golf and soccer by detecting cheer and applause.  ... 
doi:10.1016/j.cviu.2008.08.002 fatcat:lh7brwejkvhuliauqy6mxpjpjy

HMM-based ball hitting event exploration system for broadcast baseball video

Hua-Tsung Chen, Chien-Li Chou, Wei-Chin Tsai, Suh-Yin Lee, Bao-Shuh P. Lin
2012 Journal of Visual Communication and Image Representation  
Experiments conducted on broadcast baseball video show encouraging results in frame type classification and ball hitting event recognition.  ...  Three practical applications, including highlight clip extraction by user-designated query, storyboard construction, and similar event retrieval, are introduced to address the applicability of our system  ...  In total, we have 253 video clips recorded from live broadcast television programs and compressed in MPEG-2 video standard with frame resolution of 352 Â 240 (29.97 fps).  ... 
doi:10.1016/j.jvcir.2012.03.006 fatcat:ggbyov4mnbdvrllwxwqyw6izfi

MSN: Statistical Understanding of Broadcasted Baseball Video Using Multi-Level Semantic Network

H.-C. Shih, C.-L. Huang
2005 IEEE transactions on broadcasting  
This paper proposes a semantic highlight detection scheme using a Multi-level Semantic Network (MSN) for baseball video interpretation.  ...  Index Terms-Baseball video, Bayesian belief network, multilevel semantic network, spatio-temporal analysis, sport video, statistical modeling.  ...  In part A, we will introduce the results of semantic extraction for baseball video. In part B, we will show the performance of highlight detection.  ... 
doi:10.1109/tbc.2005.854169 fatcat:nk4w5zmf4raq3c5rxokkq63tvq

Composing personalized video playouts using search

Dag Johansen, Havard Johansen, Pal Halvorsen, Bjorn Olstad, Cathal Gurrin, Carsten Griwodz
2010 2010 IEEE International Conference on Multimedia and Expo  
In our DAVVI prototype, we therefore extract metadata for our video search engine by combining existing automatic video analysis tools with currently untapped textual information available in the Internet  ...  Key problems with current video analysis solutions include that they 1) are complex and therefore require a lot of processing time resulting in large delays; 2) that they can only identify a limited set  ...  Example live text commentary [22] processing time typically is about 20% of real-time for excitement identification and between 100-150% of real-time for audio event detection.  ... 
doi:10.1109/icme.2010.5583236 dblp:conf/icmcs/JohansenJHOGG10 fatcat:pmg7nfve6nh4rj22rhbdcm372q

Contour-based strike zone shaping and visualization in broadcast baseball video: providing reference for pitch location positioning and strike/ball judgment

Hua-Tsung Chen, Wen-Jiin Tsai, Suh-Yin Lee
2009 Multimedia tools and applications  
This paper presents contour-based strike zone shaping and visualization in broadcast baseball video. We first detect the home plate, which determines the vertical limits of the strike zone.  ...  Most viewers prefer retrieving the designated events, scenes and players to watching a whole game in a sequential way.  ...  Another direction is to refine the proposed Szone shaping method to handle live streaming video in real time and to research on the spatial and temporal relationship of the batter contour and the shaped  ... 
doi:10.1007/s11042-009-0321-9 fatcat:63okzgeqz5ep5ann5keppvu5cq

The holy grail of content-based media analysis

Shih-Fu Chang
2002 IEEE Multimedia  
multimedia and-image, video, audio, graphics, text, and any number of combinations-has increased in the last decade.  ...  Each piece exists in part of the 6 1070-986X/02/$17.00  ...  One opportunity for automatic solutions is real-time detection of events and highlights from live video.  ... 
doi:10.1109/93.998041 fatcat:5u75gtsntnffhhujdq32l3vtum

Detecting TV Program Highlight Scenes Using Twitter Data Classified by Twitter User Behavior and Evaluating It to Soccer Game TV Programs

Tessai HAYAMA
2018 IEICE transactions on information and systems  
Since these different types of Twitter data are lumped together into one category, it is difficult to detect highlight scenes of TV programs and correctly extract their content from the Twitter data.  ...  Therefore, this paper presents a highlight scene detection method to automatically generate TV program digests for TV programs based on Twitter data classified by Twitter user behavior.  ...  Though such methods successfully extract well-defined scenes from videos with high accuracy, it is difficult for these methods to extract undefined highlight scenes; moreover, it is also difficult to assign  ... 
doi:10.1587/transinf.2016iip0020 fatcat:5xc7qv4kbbetrargnyhqnm5x4e

Browsing sports video: trends in sports-related indexing and retrieval work

A. Kokaram, N. Rea, R. Dahyot, M. Tekalp, P. Bouthemy, P. Gros, I. Sezan
2006 IEEE Signal Processing Magazine  
HiMPACT Sports detects, in real-time, key events in baseball and football, and replays are labeled. The technology also supports sumo wrestling, where each bout is detected, and soccer.  ...  HiMPACT Coach uses a real-time automatic segmentation algorithm (exploiting HMMs [49] ) that segments football coaching videos.  ... 
doi:10.1109/msp.2006.1621448 fatcat:h6k6ohtaa5fyrbeq3x4zznjf4i
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