e-Sports Live: e-Sports Relay Broadcasting on Demand
Electronic Sports (e-Sports) is computer and video games played as competitive sports over the Internet and a local area network, and are provided to users through a TV relay broadcasting system and the Internet due to tremendous popularity of the e-Sports recently. The main drawback of the previous e-Sports relay is to broadcast the e-Sports selected by the provider without viewers’ intention, and thus the viewers can not watch desired information. Accordingly, this paper proposes a message-based semi-interactive relay broadcasting system called e-Sports Live over the Internet. The proposed system captures all regions of playing a game, and transfers the regions to a client’s viewer. The client can watch desired information by selecting a slice of all regions. However, transferring continually all regions to the client over the Internet leads to a high-traffic due to high-capacity of data. To reduce the traffic, the system transfers all messages occurred in the game such as movements of characters instead of transferring continually all areas, based on resources repetitively used in game such as the whole map and game characters, and the resources are repetitively transferred to the client’s viewer in an initial stage. Consequently, the proposed system can reduce the traffic over the Internet by transferring only message, and can perform a semi-interaction by watching desire information, as the client’s viewer receives all areas occurred in the game based on resources repetitively used in the game and messages. Now, our system can not apply to TV relay broadcasting, as it does not have buffers for resources, but may be utilized for a variety of fields of interactive TV.
KeywordsImage Region Local Area Network Relay Station Transmission Capacity Code Book
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- 5.Kulapala, B., Seeling, P., Reisslein, M.: Comparison of traffic and quality characteristics of rate-controlled wavelet and DCT video. In: Proceedings of International Conference on Computer Communications and Networks, pp. 247–252 (2004)Google Scholar
- 6.Kelly, E., Menard, R.: Internet TV: Guiding the Future of Broadcasting. International Broadcasting Convention 202–205 (September 1997)Google Scholar
- 7.Shim, H., Cho, Y., Chang, N.: Frame Buffer Compression Using a Limited-Size Code Book for Low-Power Display Systems. Embedded Systems for Real-Time Multimedia, 7–12 (September 2005)Google Scholar
- 8.Krishna, K., Ramakrishnan, K.R., Thathachar, M.A.L.: Vector quantization using genetic K-means algorithm for image compression Information. Communications and Signal Processing 3, 1585–1587 (1997)Google Scholar
- 9.Voinson, T., Guillemot, L., Moureaux, J.M.: Image compression using lattice vector quantization with code book shape adapted thresholding. Image Processing 2, II-641–II-644 (2002)Google Scholar
- 10.Bauer, C., Vinton, M.: Joint optimization of scale factors and Huffman code books for MPEG-4 AAC. In: IEEE Workshop on Multimedia Signal Processing, pp. 111–114 (October 2004)Google Scholar