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Optimization Techniques for 3D Graphics Deployment on Mobile Devices

Published: 01 March 2015 Publication History

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References

[1]
Superdata. Superdata. http://www.superdataresearch.com/global-mmo-games-spending-exceeds-12bn/.
[2]
Ortiz, S. (2010). Is 3D finally ready for the web? Computer,43(1), 14---16.
[3]
Google. The project Tango. https://www.google.com/atap/projecttango/#project.
[4]
You, Y., & Murphy, D. (2012). From 2D web map to mobile 3D mirrorworld: A live virtual advertising use case. In 6th International conference on next generation mobile applications, services, and technologies, NGMAST 2012 (pp. 42---47).
[5]
Boulos, M. N. K., Hetherington, L., & Wheeler, S. (2007). Second Life: An overview of the potential of 3-D virtual worlds in medical and health education. Health Information and Libraries Journal,24, 233---245.
[6]
Hew, K. F., & Cheung, W. S. (2010). Use of three-dimensional (3-D) immersive virtual worlds in K-12 and higher education settings: A review of the research. British Journal of Educational Technology,41, 33---55.
[7]
Lou Maher, M., Liew, P.-S., Gu, N., & Ding, L. (2005). An agent approach to supporting collaborative design in 3D virtual worlds. Automation in Construction,14(2), 189---195.
[8]
Nurminen, A. (2007). Mobile, hardware-accelerated urban 3D maps in 3G networks. In 12th International conference on 3D web technology, proceedings (pp. 7---16).
[9]
Hendaoui, A., Limayem, M., & Thompson, C. W. (2008). 3D social virtual worlds: Research issues and challenges. IEEE Internet Computing,12, 88---92.
[10]
Intel. Introducing the Intel Science and Technology Center for Secure Computing. http://download.intel.com/newsroom/kits/research/2011/pdfs/ISTC-SC_WhitePaper.pdf.
[11]
SocialBakers. SocialBakers. http://www.socialbakers.com/blog/554-facebook-hits-488-million-mobile-users-infographic.
[12]
Kanjo, E., Benford, S., Paxton, M., Chamberlain, A., Fraser, D. S., Woodgate, D., et al. (2008). MobGeoSen: Facilitating personal geosensor data collection and visualization using mobile phones. Personal and Ubiquitous Computing,12, 599---607.
[13]
Back, M., Childs, T., Dunnigan, A., Foote, J., Gattepally, S., Liew, B., Shingu, J., & Vaughan, J. (2010). The Virtual Factory: Exploring 3D worlds as industrial collaboration and control environments. Proceedings: IEEE virtual reality (pp. 257---258).
[14]
Capin, T., Pulli, K., & Akenine-Möller, T. (2008). The state of the art in mobile graphics research. IEEE Computer Graphics and Applications,28, 74---84.
[15]
Hildebrandt, D., Klimke, J., Hagedorn, B., & Döllner, J. (2011). Service-oriented interactive 3D visualization of massive 3D city models on thin clients. In 2nd International conference on computing for geospatial research and applications, Washington, USA (p. 1). New York: ACM.
[16]
Nadalutti, D., Chittaro, L., & Buttussi, F. (2006). Rendering of X3D content on mobile devices with OpenGL ES. In 11th ACM international conference on 3D web technology (pp. 19---26).
[17]
Döllner, J., Hagedorn, B., & Klimke, J. (2012). Server-based rendering of large 3D scenes for mobile devices using G-buffer cube maps. In 17th ACM international conference on 3D web technology (Vol. 1, pp. 97---100).
[18]
Xiao, Y., Bhaumik, R., Yang, Z., Siekkinen, M., Savolainen, P., & Ylä-Jääski, A. (2010). A system-level model for runtime power estimation on mobile devices. In IEEE/ACM international conference on cyber, physical and social computing (pp. 27---34).
[19]
Preda, M., Villegas, P., & Morán, F. (2008). A model for adapting 3D graphics based on scalable coding, real-time simplification and remote rendering. Visual Computer,24, 881---888.
[20]
Gotchev, A., Akar, G. B., Capin, T., Strohmeier, D., & Boev, A. (2011). Three-dimensional media for mobile devices. Proceedings of the IEEE,99(4), 708---741.
[21]
Evans, A., Romeo, M., Bahrehmand, A., Agenjo, J., & Blat, J. (2014). 3D graphics on the web: A survey. Computational Graphics,41, 43---61.
[22]
Kim, J., Choi, J., Chang, D., Kwon, T., Choi, Y., & Yuk, E. (2005). Traffic characteristics of a massively multi-player online role playing game. In 4th ACM SIGCOMM workshop on Network and system support for games: NetGames'05 (pp. 1---8). New York: ACM Press.
[23]
Wang, X., Kim, H., Vasilakos, A., Kwon, T., Choi, Y., Choi, S., & Jang, H. (2009). Measurement and analysis of world of warcraft in mobile WiMAX networks. In 8th Annual workshop on network and systems support for games.
[24]
Chang, C.-F., & Ger, S.-H. (2002). Enhancing 3D graphics on mobile devices by image-based rendering. In Advances in multimedia information processing--PCM 2002 (pp. 1---17). Berlin: Springer.
[25]
Schinko, C., Berndt, R., Eggeling, E., & Fellnet, D. (2014). A scalable rendering framework for generative 3D content. In Proceedings of the nineteenth international ACM conference on 3D web technologies (pp. 81---87). Vancouver, BC: ACM.
[26]
Lamberti, F., & Sanna, A. (2007). A streaming-based solution for remote visualization of 3D graphics on mobile devices. IEEE Transactions on Visualization and Computer Graphics,13, 247---260.
[27]
Merkle, P., Wang, Y., Müller, K., Smolic, A., & Wiegand, T. (2009). Video plus depth compression for mobile 3D services. In 3DTV-CON 2009: 3rd 3DTV-conference: The true vision--Capture, transmission and display of 3D video, proceedings (pp. 1---4).
[28]
Paravati, G., Sanna, A., Lamberti, F., & Ciminiera, L. (2011). An adaptive control system to deliver interactive virtual environment content to handheld devices. Mobile Networks and Applications,16, 385---393.
[29]
Siltanen, P., Karhela, T., Woodward, C., & Savioja, P. (2007). Augmented reality for plant lifecycle management. In 13th International conference on concurrent enterprising, Sofia Antipolis (pp. 407---414).
[30]
Over, M., Schilling, A., Neubauer, S., & Zipf, A. (2010). Generating web-based 3D City Models from OpenStreetMap: The current situation in Germany. Computers, Environment and Urban Systems,34, 496---507.
[31]
SecondLife. SecondLife. http://wiki.secondlife.com/wiki/Primitive.
[32]
Alatalo, T. (2011). An entity-component model for extensible virtual worlds. IEEE Internet Computing,15, 30---37.
[33]
Hoppe, H. (1996). Progressive meshes. In Proceedings of the 23rd annual conference on Computer graphics and interactive techniques: SIGGRAPH'96 (pp. 99---108). New York: ACM Press.
[34]
Cantlay, I. (2005). MipMap-level measurements. In M. Pharr & R. Fernando (Eds.), GPU Gems 2: Programming techniques for high-performance graphics and general-purpose computation. Boston, USA: Addison-Wesley Professionals.
[35]
Mochocki, B., Lahiri, K., & Cadambi, S. (2006). Power analysis of mobile 3D graphics. In Design automation and test in Europe conference (pp. 107---112).
[36]
Ström, J., & Akenine-Möller, T. (2005). i PACKMAN: High-quality, low-complexity texture compression for mobile phones. In ACM SIGGRAPH/EUROGRAPHICS conference on graphics hardware, Los Angeles (pp. 177---182).
[37]
Ström, J., & Wennersten, P. (2011). Lossless compression of already compressed textures. In ACM SIGGRAPH symposium on high performance graphics, New York (pp. 177---182).
[38]
Vatjus-Anttila, J., Hickey, S., & Kuusela, E. (2011). Methods and network architecture for modifying extensible virtual environment to support mobility. In 15th MindTrek conference, Tampere (pp. 45---51).
[39]
Hoque, M. A., Siekkinen, M., & Nurminen, J. K. (2011). On the energy efficiency of proxy-based traffic shaping for mobile audio streaming. In 2011 IEEE consumer communications and networking conference, CCNC'2011 (pp. 891---895).
[40]
Limper, M., Jung, Y., Behr, J., & Alexa, M. (2013). The POP buffer: Rapid progressive clustering by geometry quantization. Computer Graphics Forum,21, 197---206.
[41]
Munshi, A., Ginsburg, D., & Shreiner, D. (2008). OpenGL ES 2.0 programming guide. Boston: Addison-Wesley.
[42]
Stamminger, M., & Drettakis, G. (2002). Perspective shadow maps. ACM Transactions on Graphics,21, 557---562.
[43]
Kuehne, B., True, T., Commike, A., & Shreiner, D. (2005). Performance OpenGL: Platform independent techniques. In ACM SIGGRAPH conference on computer graphics and interactive techniques.
[44]
Ginsburg, D., & Purnomo, B. (2014). OpenGL ES 3.0 programming guide. Boston: Addison-Wesley Professionals.
[45]
NVIDIA. NVIDIA Tegra4 family GPU architecture. http://www.nvidia.com/docs/IO/116757/Tegra_4_GPU_Whitepaper_FINALv2.pdf.
[46]
Belleville, M., Cantatore, E., Fanet, H., Fiorini, P., Nicole, P., Pelgrom, M., et al. (2009). Energy autonomous systems: Future trends in devices, technology, and systems. Paris: CATRENE.
[47]
Kim, D., Jung, W., & Cha, H. (2013). Runtime power estimation of mobile AMOLED displays. In Design, automation test in Europe conference exhibition (DATE), 2013 (pp. 61---64).
[48]
Dong, M., Choi, Y.-S. K., & Zhong, L. (2009). Power modeling of graphical user interfaces on OLED displays. In 46th Annual design automation conference on ZZZ: DAC'09 (pp 652---657). New York: ACM Press.
[49]
Dong, M., Choi, Y.-S. K., & Zhong, L. (2009). Power-saving color transformation of mobile graphical user interfaces on OLED-based displays. In Proceedings of ACM/IEEE ISLPED (pp. 339---342).
[50]
Samet, H. (1989). Applications of spatial data structures: Computer graphics, image processing, and GIS. Boston, USA: Addison-Wesley Longman Publishing Co., Inc.
[51]
Schmalstieg, D., & Tobler, R. F. (1999). Fast projected area computation for three-dimensional bounding boxes. Journal of Graphics Tools,4, 37---43.
[52]
Schmidt, D., & Wehn, N. (2009). DRAM power management and energy consumption: A critical assessment. In 22nd Annual symposium on integrated circuits and system design: Chip on the dunes (pp. 32:1---32:5). New York: ACM.
[53]
Harjula, E., Kassinen, O., & Ylianttila, M. (2012). Energy consumption model for mobile devices in 3G and WLAN networks. In Consumer communications and networking conference (pp. 532---537).
[54]
Willmott, A. (2011). Rapid simplification of multi-attribute meshes. In High-performance graphics, Lyon (pp. 151---158).
[55]
Hosseini, M., Fedorova, A., Peters, J., & Shirmohammadi, S. (2012). Energy-aware adaptations in mobile 3D graphics. In 20th ACM international conference on multimedia, Nara (pp. 1017---1020).
[56]
Lee, J., Choe, S., & Lee, S. (2010). Mesh geometry compression for mobile graphics. In 7th IEEE consumer communications and networking conference, CCNC 2010 (pp. 301---305).
[57]
Hoppe, H. (1998). Efficient implementation of progressive meshes. Computational Graphics,22, 27---36.
[58]
Hussain, M. (2009). Efficient simplification methods for generating high quality LODs of 3D meshes. The Journal of Computer Science and Technology,24, 604---613.
[59]
Cacciola, F. Triangulated surface mesh simplification. http://doc.cgal.org/latest/Surface_mesh_simplification/index.html.
[60]
Peng, J., Kim, C. S., & Kuo, C. C. J. (2005). Technologies for 3D mesh compression: A survey. Journal of Visual Communication and Image Representation,16, 688---733.
[61]
Wei, J., & Lou, Y. (2010). Feature preserving mesh simplification using feature sensitive metric. The Journal of Computer Science and Technology,25, 595---605.
[62]
Lee, H., Lavoué, G., & Dupont, F. (2012). Rate-distortion optimization for progressive compression of 3D mesh with color attributes. Visual Computer,28, 137---153.
[63]
Lavoué, G., Chevalier, L., & Dupont, F. (2013). Streaming compressed 3D data on the web using JavaScript and WebGL. In 18th International conference on 3D web technology, San Sebastian (pp. 19---27).
[64]
Maglo, A., Courbet, C., Alliez, P., & Hudelot, C. (2012). Progressive compression of manifold polygon meshes. In Computers and graphics (pp. 349---359). Amsterdam, The Netherlands: Elsevier.
[65]
Garland, M., & Heckbert, P. S. (1997). Surface simplification using quadric error metrics. In 24th Annual conference on Computer graphics and interactive techniques--SIGGRAPH'97 (pp. 209---216). New York: ACM Press.
[66]
Garland, M., & Heckbert, P. S. (1998). Simplifying surfaces with color and texture using quadric error metrics. In Visualization'98 (cat. no. 98CB36276, pp. 263---269).
[67]
Alliez, P., & Gotsman, C. (2005). Recent advances in compression of 3D meshes. In Advances in multiresolution for geometric modelling (pp. 1---25). Berlin Heidelberg: Springer.
[68]
Cignoni, P., Ganovelli, F., Gobbetti, E., Marton, F., Ponchio, F., & Scopigno, R. (2003). BDAM--Batched dynamic adaptive meshes for high performance terrain visualization. Computer Graphics Forum,22(3), 505---514.
[69]
Sloan, P.-P. J., Weinstein, D. M., & Brederson, D. J. (1998). Importance driven texture coordinate optimization. Computer Graphics Forum,17, 97.
[70]
Hunter, A., & Cohen, J. D. (2000). Uniform frequency images: Adding geometry to images to produce space-efficient textures. In Proceedings visualization 2000, VIS 2000 (cat. no. 00CH37145, pp. 243---250).
[71]
Balmelli, L., Taubin, G., & Bernardini, F. (2002). Space-optimized texture maps. Computer Graphics Forum,21(3), 411---420.
[72]
Sander, P., Gortler, S., Snyder, J., & Hoppe, H. (2002). Signal-specialized parametrization. In Thirteenth eurographics workshop on rendering, 2002 (pp. 87---89).
[73]
Vatjus-Anttila, J., Hickey, S., & Koskela, T. (2013). Adaptive content management for collaborative 3D virtual spaces. In 13th Conference of FRUCT Association, Petrozavodsk (pp. 132---142).
[74]
Khronos. OpenGL ES version 3.0. http://www.khronos.org/registry/gles/specs/3.0/es_spec_3.0.0.pdf.
[75]
Skodras, A., Christopoulos, C., & Ebrahimi, T. (2001). The JPEG 2000 still image compression standard. IEEE Signal Processing Magazine,18, 36---58.
[76]
Cheng, A. M. K., & Shang, F. (2005). Priority-driven coding of progressive JPEG images for transmission in real-time applications. In 11th IEEE international conference on embedded and real-time computing systems and applications (pp. 129---134).
[77]
Sun, B., Ramamoorthi, R., Narasimhan, S. G., & Nayar, S. K. (2005). A practical analytic single scattering model for real time rendering. In ACM SIGGRAPH 2005 papers ofSIGGRAPH 05 (Vol. 24, pp. 1040---1049).
[78]
Cook, R. L., & Torrance, K. E. (1981). A reflectance model for computer graphics. ACM SIGGRAPH Computer Graphics,15, 307---316.
[79]
Walter, B., Marschner, S., Li, H., & Torrance, K. (2007). Microfacet models for refraction through rough surfaces. In 18th eurographics conference on rendering techniques (pp. 195---206). Grenoble: Eurographics Association.
[80]
Lefohn, A. E., Sengupta, S., & Owens, J. D. (2007). Resolution-matched shadow maps. ACM Transactions on Graphics,26, 1---17.
[81]
Policarpo, F., & Oliveira, M. M. (2006). Relief mapping of non-height-field surface details. In Symposium on interactive 3D graphics and games--SI3D'06 (Vol. 1, p. 55).
[82]
Dmitriev, K., & Makarov, E. (2011). Generating displacement from normal map for use in 3D games. In Proceedings of ACM SIGGRAPH 2011 talks. Vancouver, BC: ACM.
[83]
Kaneko, T., Takahei, T., Inami, M., Kawakami, N., Yanagida, Y., Maeda, T., & Tachi, S. (2001). Detailed shape representation with parallax mapping. Proceedings of ICAT,2001, 205---208.
[84]
Koulieris, G. A., Drettakis, G., Cunningham, D., & Mania, K. (2014). C-LOD: Context-aware material level-of-detail applied to mobile graphics. Computer Graphics Forum,33(4), 41---49.
[85]
Pool, J., Lastra, A., & Singh, M. (2011). Precision selection for energy-efficient pixel shaders. In ACM SIGGRAPH symposium on high performance graphics, Vancouver (pp. 159---168).
[86]
Vatjus-Anttila, J., Koskela, T., & Hickey, S. (2013). Power consumption model of a mobile GPU based on rendering complexity. In 7th International conference on next generation mobile apps, services and technologies, Prague (pp. 210---215).
[87]
Android. Android developers. http://developer.android.com/about/dashboards/index.html.
[88]
Ström, J., & Pettersson, M. (2007). ETC2: Texture compression using invalid combinations. In 22nd ACM SIGGRAPH/EUROGRAPHICS symposium on graphics hardware, Sarajevo (pp. 63---70).
[89]
Gil, B., & Trezentos, P. (2011). Impacts of data interchange formats on energy consumption and performance in smartphones. In Workshop on open source and design of communication--OSDOC'11 (pp. 1---6). New York: ACM Press.
[90]
Deutsch, P. (1996). GZIP file format specification version 4.3--IETF RFC1952.
[91]
Ziv, J., & Lempel, A. (1977). A universal algorithm for sequential data compression. IEEE Transactions on Information Theory,23, 337---343.
[92]
Fielding, R. T., Gettys, J., Mogul, J., Frystyk, H., Masinter, L., Leach, P., & Berners-Lee, T. (1999). Hypertext--HTTP/1.1. http://www.ietf.org/rfc/rfc2616.txt.
[93]
Alakuijala, J., & Vendevenne, L. Data compression using Zopfli. https://zopfli.googlecode.com/files/Data_compression_using_Zopfli.pdf.
[94]
Ziv, J., & Lempel, A. (1978). Compression of individual sequences via variable-rate coding. IEEE Transactions on Information Theory,24, 530---536.
[95]
Welch, T. (1984). A technique for high-performance data compression. Computer (Long Beach, California),17, 8---19.
[96]
Burrows, M., & Wheeler, D. (1994). A block-sorting lossless data compression algorithm. Technical Report 124. Palo Alto: Digital Equipment Corporation.
[97]
Cleary, J. G., & Witten, I. H. (1984). Data compression using adaptive coding and partial string matching. IEEE Transactions on Communications,COM-32, 396---402.
[98]
Shkarin, D. (2002). PPM: One step to practicality. In Proceedings of DCC 2002. Data compression conference (pp. 202---211).
[99]
Barr, K. C., & Asanović, K. (2006). Energy-aware lossless data compression. ACM Transactions on Computer Systems,24, 250---291.
[100]
Rauschenbach, U., & Schumann, H. (1999). Demand-driven image transmission with levels of detail and regions of interest. Computational Graphics,23, 857---866.
[101]
Mauve, M., Fischer, S., & Widmer, J. (2002). A generic proxy system for networked computer games. In 1st Workshop on Network and system support for games--NETGAMES'02 (pp. 25---28). New York: ACM Press.
[102]
Podlipnig, S., & Böszörmenyi, L. (2003). A survey of Web cache replacement strategies. ACM Computing Surveys,35, 374---398.
[103]
Bontu, C. S., & Illidge, E. (2009). DRX mechanism for power saving in LTE--{topics in radio communications}. IEEE Communications Magazine,47, 48---55.
[104]
Siekkinen, M., Hoque, M., Nurminen, J., & Aalto, M. (2013). Streaming over 3G and LTE: How to save smartphone energy in radio access network-friendly way. In 5th Workshop on mobile video, Oslo (pp. 13---18).
[105]
Vergara, E. J., & Nadjm-Tehrani, S. (2013). EnergyBox: A trace-driven tool for data transmission energy consumption studies. In Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics, pp. 19---34). Berlin: Springer
[106]
Balasubramanian, N., Balasubramanian, A., & Venkataramani, A. (2009). Energy consumption in mobile phones. In Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference--IMC'09 (p. 14). New York: ACM Press.
[107]
Huang, J., Quian, F., Guo, Y., Zhou, Y., Xu, Q., Mao, Z. M., Sen, S., & Spatscheck, O. (2013). An in-depth study of LTE: Effect of network protocol and application behavior on performance. In SIGCOMM (pp. 363---374).
[108]
Grigorik, I. (2013). High performance browser networking. Sebastopol, CA: O'Reilly Media.
[109]
Harvey, R. C., Hamza, A., Ly, C., & Hefeeda, M. (2010). Energy-efficient gaming on mobile devices using dead reckoning-based power management. In 2010 9th Annual workshop on network and systems support for games, NetGames 2010.
[110]
Alliez, P., & Desbrun, M. (2001). Progressive compression for lossless transmission of triangle meshes. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques (pp. 195---202). New York: ACM Press.
[111]
Möller, T., Haines, E., & Hoffman, N. (2008). Real-time rendering. Wellesley, MA: A K Peters/CRC Press.

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cover image 3D Research
3D Research  Volume 6, Issue 1
March 2015
137 pages

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 March 2015

Author Tags

  1. 3D Internet
  2. 3D content
  3. Content simplification
  4. Energy consumption
  5. Mobile networking
  6. Virtual environment

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