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A Framework for Customizable Sports Video Management and Retrieval [chapter]

Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
2003 Lecture Notes in Computer Science  
Secondly, we will show how the extracted key segments can be summarised using standard descriptions of MPEG-7 in a hierarchical scheme which is potentially easy to share between users.  ...  In this paper, we firstly propose a framework for customizable video management system which allows the system to detect the type of video to be indexed, so that appropriate tools can be used to extract  ...  Slow motion replay and scoreboard display: when interesting events has just happened, a slow motion replay usually follows the event.  ... 
doi:10.1007/978-3-540-39666-6_16 fatcat:izz62pdtibfppgyj6bhtdi4e3u

Content-based video indexing for sports applications using integrated multi-modal approach

Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system.  ...  This doctoral consists of a research work based on an integrated multi-modal approach for sports video indexing and retrieval.  ...  For example, to extract goal segments from soccer and basketball video, slow motion replay scenes (visual) and excitement (audio) should be detected as they are played during most goal segments.  ... 
doi:10.1145/1101149.1101362 dblp:conf/mm/TjondronegoroCP05 fatcat:r7flpxbh4fbfrbtnepauzo26du

Rushes Video Summarization by Audio-Filtering Visual Features

Yin-Fu Huang, Wei-Chung Chen
2014 International Journal of Machine Learning and Computing  
In this paper, we propose a video summarization system for analyzing basketball game videos.  ...  First, we extract replay highlights by special effect detection. Next, we filter landscape shots using color range pixel and fast motion activity.  ...  [9] summarized sports videos by detecting slow-motion replays to extract highlights.  ... 
doi:10.7763/ijmlc.2014.v4.437 fatcat:j25zsdjbafaxfc7vvx3tv2dcwq

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

Yasmin S., Soudamini Pawar
2015 International Journal of Advanced Computer Science and Applications  
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  ...  Hence, video summarization proposes various ways for faster browsing among a large amount of data and also for content indexing.  ...  Replays are mainly played into slow motion; most of the broadcasters play replays between graphical logos [5] . Replays can be detected by identifying such logos. IV.  ... 
doi:10.14569/ijacsa.2015.061133 fatcat:pvjtxbtwwfevzjt4d4s2q4rdly

Multi-level Semantic Analysis for Sports Video [chapter]

Dian W. Tjondronegoro, Yi-Ping Phoebe Chen
2005 Lecture Notes in Computer Science  
To sustain an ongoing rapid growth of sports video, there is an emerging demand for a sophisticated content-based indexing system.  ...  There has been a huge increase in the utilization of video as one of the most preferred type of media due to its content richness for many significant applications including sports.  ...  Consequently, there are many slow motion replays and close-up shots to keep viewers' interest.  ... 
doi:10.1007/11552451_4 fatcat:tf44tus6h5fqhbumurxcq5sd5i

Semantic-aware adaptation scheme for soccer video over MPEG-DASH

Shenghong Hu, Lingfen Sun, Chunxia Xiao, Chao Gui
2017 2017 IEEE International Conference on Multimedia and Expo (ICME)  
In this paper, we have proposed a new semantic-aware adaptation scheme for MPEG-DASH services, which decides how to preserve bandwidth and buffering time depending on content descriptors for the perceived  ...  That's to say, those segments holding user interested content such as highlights need to be allocated more network resource in a resource-limited streaming scenario.  ...  We use k-mean cluster to classify the motion type (m t ) of each shot into 3 types: slow moving (m t = 1), gentle walking (m t = 2), and rapid moving (m t = 3).  ... 
doi:10.1109/icme.2017.8019541 dblp:conf/icmcs/HuSXG17 fatcat:o7spc3annfaf5h463w2evsidka

Semantic Analysis of Field Sports Video using a Petri-Net of Audio-Visual Concepts

L. Bai, S. Lao, A. F. Smeaton, N. E. O'Connor, D. Sadlier, D. Sinclair
2008 Computer journal  
Low-level algorithms for the detection of perception concepts using visual, aural and motion characteristics are proposed, and a series of Petri-Nets composed of perception concepts is formally defined  ...  such as action replays, excited commentators or changes in a scoreboard.  ...  For detecting Slow-Motion Replay Concepts (SMR), we use a zero crossing measure which is aligned with the technique outlined in [15] .  ... 
doi:10.1093/comjnl/bxn058 fatcat:3aelihpc4ndx3cujllsohr2mga

A Survey of Content-Aware Video Analysis for Sports

Huang-Chia Shih
2018 IEEE transactions on circuits and systems for video technology (Print)  
In this regard, a content-aware approach is required to determine user demands. Finally, the paper summarizes the future trends and challenges for sports video analysis.  ...  We believe that our findings can advance the field of research on content-aware video analysis for broadcast sports.  ...  Regression (SMLR) hockey N/A Objects tracking, action recognition [177] l-visual HMM Basketball, football, racing, boxing, soccer Commercial, slow motions Slow motion replay segments  ... 
doi:10.1109/tcsvt.2017.2655624 fatcat:rwqzu46sgfb7tpkcav4ysmh6ae

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  
Detection in the compressed domain uses the fact that when frame repeats occur during slow motion, the direction of frame prediction changes.  ...  [19] have recently proposed a new scheme based on presegmentation of candidate locations for objects.  ... 
doi:10.1109/msp.2006.1621448 fatcat:h6k6ohtaa5fyrbeq3x4zznjf4i

Survey of compressed-domain features used in audio-visual indexing and analysis

Hualu Wang, Ajay Divakaran, Anthony Vetro, Shih-Fu Chang, Huifang Sun
2003 Journal of Visual Communication and Image Representation  
Selected features are categorized into four groups-spatial visual (e.g., color, texture, edge, shape), motion (e.g., motion field, trajectory), audio (e.g., energy, spectral features, pitch), and coding  ...  In this paper, we attempt to provide a comprehensive and high-level review of audiovisual features that can be extracted from the standard compressed domains, such as MPEG-1 and MPEG-2.  ...  Therefore, in a slow-motion replay segment, large variations of bit rates will be observed.  ... 
doi:10.1016/s1047-3203(03)00019-1 fatcat:5pueo6wembhafibi3wzqbuk2vi

Spoofing and Anti-spoofing Technologies of Global Navigation Satellite System: A Survey

Zhijun Wu, Yun Zhang, Yiming Yang, Cheng Liang, Rusen Liu
2020 IEEE Access  
The detection performance for this method is affected by antenna motion and oscillator stability.  ...  In addition, this scheme can detect replay spoofing attack (RSA) with a detection probability greater than 0.97 and a false alarm probability of 0.001.  ... 
doi:10.1109/access.2020.3022294 fatcat:crv2g4ebpzbddkphu3i6mifk44

Identifying and Investigating Intrusive Scanning Patterns by Visualizing Network Telescope Traffic in a 3-D Scatter-plot

Jean-Pierre van Riel, Barry Irwin
2006 Information Security for South Africa  
Detecting and investigating intrusive Internet activity is an ever-present challenge for network administrators and security researchers.  ...  Complimenting this, visual analysis facilitates the rapid review and correlation of events, thereby utilizing human intelligence in the identification of scanning patterns.  ...  This in turn provides a valuable reference for exposing false positives in the production network and can also indicate the occurrence of false negatives.  ... 
dblp:conf/issa/RielI06 fatcat:b753epsuszbdbk3ewfx5zeq5re

A real-time multiple-cell tracking platform for dielectrophoresis (DEP)-based cellular analysis

Brinda Prasad, Shan Du, Wael Badawy, Karan V I S Kaler
2005 Measurement science and technology  
The procedure for tracking a single DEP-levitated Canola plant protoplast, using the motion-based segmentation algorithm hierarchical adaptive merge split mesh-based technique (HAMSM) for cell identification  ...  A dielectrophoresis (DEP)-based characterization and measurement technique on biological cells opens up a broader perspective for early diagnosis of diseases.  ...  Acknowledgments The authors gratefully acknowledge the Natural Sciences and Engineering Research Council of Canada (NSERC) for their financial support.  ... 
doi:10.1088/0957-0233/16/4/003 fatcat:rgqepvvgpndmxfinxiq5queywe

Spatial and Temporal Interpolation of Multi-view Image Sequences [chapter]

Tobias Gurdan, Martin R. Oswald, Daniel Gurdan, Daniel Cremers
2014 Lecture Notes in Computer Science  
For spatial view point interpolation we present a robust feature-based matching algorithm that allows for wide-baseline camera configurations.  ...  We propose a simple and effective framework for multi-view image sequence interpolation in space and time.  ...  [12, 11] recently proposed a dense matching scheme based on combined edgelet matching and color segmentation that allows free-viewpoint navigation for handheld multi-view video footage in both space  ... 
doi:10.1007/978-3-319-11752-2_24 fatcat:oguvp3xxivda7jsz5tkheiydea

Finding and identifying unknown commercials using repeated video sequence detection

John M. Gauch, Abhishek Shivadas
2006 Computer Vision and Image Understanding  
In both cases, it is necessary to create a database of known commercials that contain the information necessary for detection.  ...  Our system utilizes customized temporal video segmentation techniques to automatically partition the digital video signal into semantically sensible shots and scenes.  ...  [Pan2001] uses a hidden Markov model to identify slow motion replay segments in sports videos.  ... 
doi:10.1016/j.cviu.2006.03.002 fatcat:acp7egg74jejnbtcm4k65dew7i
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