A hybrid terrain data compression method in unity for deployment on resource-limited devices
194 viewsDOI:
https://doi.org/10.54939/1859-1043.j.mst.94.2024.130-138Keywords:
Terrain data; Data compression; Unity; Resource-limited devices.Abstract
With geographic information systems in general and simulation systems in particular, terrain data takes up most of the hard drive space and is often deployed on data servers. The higher the resolution of the terrain data, the more detailed it is, the larger the space occupied on the hard drive. If terrain data needs to be deployed offline on resource-limited devices such as minicomputers, it will face many difficulties due to hard drive space limitations. Terrain data compression is a solution that reduces terrain capacity to overcome that problem. This article presents an efficient hybrid approach based on Brotli and LZ4 compression algorithms to compress terrain data for deployment on resource-limited devices. Experimental results show that the proposed method significantly reduces the volume of terrain data compared to using each component algorithm independently while still ensuring quality.
References
[1]. J. Uthayakumar, T. Vengattaraman, P. Dhavachelvan. “A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications”, Journal of King Saud University - Computer and Information Sciences, (2018) https://doi.org/10.1016/j.jksuci.2018.05.006 DOI: https://doi.org/10.1016/j.jksuci.2018.05.006
[2]. Parkinson, C.N. ‘‘Work expands so as to fill the time available.” In: Parkinson’s Law and Other Studies in Administration. Ballantine Books, New York, (1957).
[3]. P. Lancett, “The advantages of file compression”, Techwalla, (2018), https://www.techwalla.com/articles/the-advantages-of-file-compression.
[4]. Er. Mangi Lal , Er. Sammah Rasheed, “A Review on data compression techniques”, IJARIIE-ISSN(O)-2395-4396, Vol-6 Issue-1, pp.590-597, (2020).
[5]. https://ethw.org/History_of_Lossless_Data_Compression_Algorithms.
[6]. H. Dheemanth, “LZW data compression”, American Journal of Engineering Research (AJER), vol.3, no.2, pp.22-26, (2018).
[7]. Euronext, “Introduction to LZ4 compression”, Ruronext optiq technical notes, (2016).
[8]. Alakuijala, Jyrki & Farruggia, Andrea & Ferragina, Paolo & Kliuchnikov, Eugene & Obryk, Robert & Szabadka, Zoltan & Vandevenne, Lode. “Brotli: A General-Purpose Data Compressor”, ACM Transactions on Information Systems. 37. 1-30. 10.1145/3231935, (2018). DOI: https://doi.org/10.1145/3231935
[9]. Techie Delight, “Huffman Coding Compression Algorithm - Techie Delight”, (2018), http://www.techiedelight.com/huffman-coding.
[10]. Vicky Reynaldo, Arya Wicaksana and Seng Hansun. “Brotli data compression on moodle-based e-learning server”, ICIC International 2019 ISSN 2185-2766, (2019).
[11]. https://docs.unity3d.com/ScriptReference/Terrain.html.
[12]. Minh Tran Binh, The research topic “ĐTVCN.01.22/CNTT”, Military Information Technology Institute, (2021).
[13]. Olanda Ricardo, Pérez Mariano, Orduña Juan, Rueda Silvia, “Terrain data compression using wavelet-tiled pyramids for online 3D terrain visualization”, International Journal of Geographical Information Science, 28, pp.407-425, (2014). DOI: https://doi.org/10.1080/13658816.2013.829920
[14]. Guo Hao-Ran, Pang Jian-Min, “Terrain Data Hybrid Entropy Coding Compression Based on Lifting Wavelet and Real-time Rendering”, Journal of Electronics & Information Technology, 34(12), pp.3013-3020, (2012). DOI: https://doi.org/10.3724/SP.J.1146.2012.00652
[15]. Ying Zhoua, Lingling Wanga, Lieyun Dinga, Cheng Zhoua, “A 3D model Compression Method for Large Scenes”, 35th International Symposium on Automation and Robotics in Construction (2018). DOI: https://doi.org/10.22260/ISARC2018/0140
[16]. Maleika W., Forczmański P. “Lossless Compression Method for Digital Terrain Model of Seabed Shape”. In: Choraś, R. (eds) Image Processing and Communications Challenges 8. Advances in Intelligent Systems and Computing, vol 525. Springer, Cham, (2017). https://doi.org/10.1007/978-3-319-47274-4_18 DOI: https://doi.org/10.1007/978-3-319-47274-4_18
[17]. Maria Mrówczyńska, Jacek Sztubecki, Andrzej Greinert. “Compression of results of geodetic displacement measurements using the PCA method and neural networks”, (2020). https://doi.org/10.1016/j.measurement.2020.107693. DOI: https://doi.org/10.1016/j.measurement.2020.107693
