Abstract
Efficient access to broadcasted computer game videos is urgently demanded due to the emergence of live streaming platforms. The popularity of game video streaming builds a big market showing commercial potentials and arising many technical challenges. In this work we facilitate efficient access from two aspects: event detection and highlight detection. By recognizing designated text displayed on screen when important events occur, we associate game events with time stamps, and accordingly develop an interface to facilitate direct access. For highlight detection, we jointly consider visual features, event features, and viewer’s behavior to construct two highlight models based on the psychophysiological approach and the data-driven approach, respectively. The concatenated highlights then enable compact game video presentation. To facilitate adaptive live streaming, a novel highlight forecast model is built to predict whether there will be a highlight in the next seconds, so that the streaming system can allocate more resource for more important segments on the fly. Comprehensive experiments based on various experimental settings demonstrate effectiveness of the proposed methods. We believe that this work is one of the early attempts on analyzing broadcasted computer game videos from the perspective of multimedia content analysis.
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References
Brown RG (1956) Exponential smoothing for predicting demand. Arthur D. Little Inc., Cambridge
Chang C-C, Lin C-J (2011) Libsvm: a library for support vector machines. ACM Trans Intell Syst Technol 2(27):1–27
Chen C-M, Chen L-H (2014) Novel framework for sports video analysis: a basketball case study. In: Proceedings of IEEE international conference on image processing, pp 961–965
Chen F, De Vleeschouwer C, Cavallaro A (2014) Resource allocation for personalized video summarization. IEEE Trans Multimedia 16(2):455–469
Chiu C-Y, Lin P-C, Li S-Y, Tsai T-H, Tsai Y-L (2012) Tagging webcast text in baseball videos by video segmentation and text alignment. IEEE Trans Circuits Syst Video Technol 22(7):999–1013
Chu W-T, Cheng W-H, Hsu JY-J, Wu J-L (2005) Towards semantic indexing and retrieval using hierarchical audio models. Multimedia Systems 10(6):570–583
Cong Y, Yuan J, Luo J (2012) Towards scalable summarization of consumer videos via sparse dictionary selection. IEEE Trans Multimedia 14(1):66–75
Dang CT, Radha H (2014) Heterogeneity image patch index and its application to consumer video summarization. IEEE Trans Image Process 23(6):2704–2718
Douglass J (2009) Computer visions of computer games: analysis and visualization of play recordings. In: Proceedings of workshop on media arts, science, and technology: the future of interactive media
Duan L, Xu D, Chang S-F (2012) Exploiting web images for event recognition in consumer videos: a multiple source domain adaptation approach. In: Proceedings of IEEE international conference on computer vision and pattern recognition, pp 1338–1345
Evangelopoulos G, Zlatintsi A, Potamianos A, Maragos P, Rapantzikos K, Skoumas G, Avrithis Y (2013) Multimodal saliency and fusion for movie summarization based on aural, visual, and textual attention. IEEE Trans Multimedia 15(7):1553–1568
Fan-Chiang T-Y, Hong H-J, Hsu C-H (2015) Segment-of-interest driven live game streaming: saving bandwidth without degrading experience. In: Proceedings of international workshop on network and systems support for games, pp 1–6
Gao Y, Zhao S, Yang Y, Chua T-S (2015) Multimedia social event detection in microblog. In: Proceedings of international conference on multimedia modeling, pp 269–281
Hamilton WA, Garretson O, Kerne A (2014) Streaming on twitch: fostering participatory communities of play within live mixed media. In: Proceedings of ACM SIGCHI conference on human factors in computing systems, pp 1315–1324
Hanjalic A, Xu L-Q (2005) Affective video content representation and modeling. IEEE Trans Multimedia 7(1):143–154
Hu M-C, Chang M-H, Wu J-L, Chi L (2011) Robust camera calibration and player tracking in broadcast basketball video. IEEE Trans Multimedia 13(2):266–279
Kaytoue M, Silva A, Cerf L, Meira W Jr, Raissi C (2012) Watch me playing, i am a professional: a first study on video game live streaming. In: Proceedings of international conference companion on world wide web, pp 1181–1188
Lewis JM, Trinh P, Kirsh D (2011) A corpus analysis of strategy video game play in starcraft: Broodwar. In: Proceedings of the 33rd annual conference of the cognitive science society, pp 687– 692
Lienhart R (1999) Comparison of automatic shot boundary detection algorithms. In: Proceedings of SPIE storage and retrieval for still image and video databases VII, vol 3656, pp 290–301
Lu T, Weng Y, Wang G (2014) Audiotory movie summarization by detecting scene changes and sound events. In: Proceedings of international conference on pattern recognition, pp 756–760
Nguyen N, Yoshitaka A (2014) Soccer video summarization based on cinematography and motion analysis. In: Proceedings of IEEE international workshop on multimedia signal processing
Pires K, Simon G (2014) Dash in twitch: adaptive bitrate streaming in live game streaming platforms, pp 13–18
Pires K, Simon G (2015) Youtube live and twitch: a tour of user-generated live streaming systems. In: Proceedings of ACM multimedia systems conference, pp 225–230
Riegler M, Lux M, Charvillat V, Carlier A, Vliegendhart R, Larson M (2014) Videojot: a multifunctional video annotation tool. In: Proceedings of ACM international conference on multimedia retrieval, pp 534–537
Rioult F, Metivier J-P, Helleu B, Scelles N, Durand C (2014) Mining tracks of competitive video games. AASRI Procedia 8:82–87
Stensland HK, Gaddam VR, Tennoe M, Helgedagsrud E, Naess M, Alstad HK, Mortensen A, Langseth R, Ljodal S, Landsverk O, Griwodz C, Halvorsen P, Stenhaug M, Johansen D (2014) Bagadus: an integrated real-time system for soccer analytics. ACM Trans Multimed Comput Commun Appl 10 (1s):14
Sulser F, Giangreco I, Schuldt H (2014) Crowd-based semantic event detection and video annotation for sports videos. In: Proceedings of ACM workshop on crowdsourcing for multimedia, pp 63–68
Sun M, Farhadi A, Seitz S (2014) Ranking domain-specific highlights by analyzing edited videos. In: Proceedings of Eurpean conference on computer vision, pp 787–802
Tavassolipour M, Karimian M, Kasaei S (2014) Event detection and summarization in soccer videos using Bayesian network and copula. IEEE Trans Circuits Syst Video Technol 24(2):291–304
Tsai C-M, Kang L-W, Lin C-W, Lin W (2013) Scene-based movie summarization via role-community networks. IEEE Trans Circuits Syst Video Technol 23(11):1927–1940
Wang M, Sheng Y, Liu B, Hua X-S (2010) In-image accessibility indication. IEEE Trans Multimedia 12(4):330–336
Zhang C, Liu J (2015) On crowdsourced interactive live streaming: a twitch.tv-based measurement study. In: Proceedings of ACM workshop on network and operating systems support for digital audio and video, pp 55–60
Zhao B, Xing EP (2014) Quasi real-time summarization for consumer videos. In: Proceedings of IEEE international conference on computer vision and pattern recognition, pp 2513–2520
Zhao S, Yao H, Sun X, Jiang X, Xu P (2013) Flexible presentation of videos based on affective content analysis. In: Proceedings of international conference on multimedia modeling, pp 368–379
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Chu, WT., Chou, YC. On broadcasted game video analysis: event detection, highlight detection, and highlight forecast. Multimed Tools Appl 76, 9735–9758 (2017). https://doi.org/10.1007/s11042-016-3577-x
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DOI: https://doi.org/10.1007/s11042-016-3577-x