PPT-File Compression Techniques

Alex Robertson Outline History Lossless vs Lossy Basics Huffman Coding Getting Advanced Lossy Explained Limitations Future History where this all started The Problem 1940s Shannon. Getting to Yes. V0.1 W Saltzman. What is Economic Nseries. A solution to:. Return capacity to free pool to save money. Reduces amount of data for back ups thereby reducing network bandwidth to save more money. Road. . Networks. Renchu . Song, . . Weiwei . Sun, . . Fudan. University. Baihua Zheng, Singapore Management University. . Yu . Zheng, . Microsoft Research, . Beijing. Background. Big Data. Huge volume of spatial trajectories cause heavy burden to data storage and data process. Demijan. . Klinc. * . Carmit. . Hazay. † . Ashish. . Jagmohan. **. Hugo . Krawczyk. ** . Tal Rabin. **. * . Georgia . Institute of . Technology. ** . IBM T.J. Watson Research . Labs. † . Heap’s law . (empirically observed and postulated):. Size of the vocabulary (distinct terms) in a corpus. with total number of term occurrences . n. , and constants . ,  ( < 1),. classically 20, 0.5 (. Annie . Yang and Martin Burtscher*. Department of Computer Science. Highlights. MPC compression algorithm. Brand-new . lossless . compression algorithm for single- and double-precision floating-point data. H-FILE P-FILE H-FILE P-FILE H-FILE P-FILE TECHNICAL VARIABLES SOCIO-DEMOGRAPHIC VARIABLES irregular/casual/odd jobs for payODDJOB_CIdentifiersLiving arrangementsunofficial/non-registered/untaxed workN Tekin. . Bicer. , . Jian. Yin, David Chiu, . Gagan. . Agrawal. . and Karen . Schuchardt. Ohio State University. Washington State University. Pacific Northwest National Laboratories. 1. †. †. 2-D Warping and Block Matching. Shinjini. . Kundu. Anand. . Kamat. . Tarcar. EE398A Final Project. 1. EE398A - Compression of Light Fields using 2-D Warping and Block Matching. Outline. Motivation and . Eric . Shea. M.S. Student. University of Pittsburgh. An . Ho. M.S. Graduate, University of Florida. (now at Harris). 2017 IEEE Aerospace Conference. Dr. Alan D. George. Mickle Chair Professor of ECE. John Wiley & Sons. , 1984, Chapter 5.. Ref.2: Menon, Gas Pipeline Hydraulic, . Taylor & Francis. , 2005, Chapter 4.. Ref.3: GPSA Electronic Data Book, . Gas Processors Association. , 1998, Chapter 13.. Swati . Singhal. . 1. Alan Sussman . The 2nd International Workshop on Data Reduction for Big Scientific . Data. UMIACS and Department of Computer Science. D. ata. reduction is growing concern for scientific computing. Class Rules and Responsibilities. What will be learning?. . 106-Static and Dynamic Visualization. . 105-Synthesize Data for . SciVis. Video-Real Life applications. 6.01: Recognize Digital Image Format. is a . lossy compression. method used to . compress images. using . fractals. . The method is best suited for photographs of natural scenes (. trees. , . mountains. , . ferns. , . clouds. ). The fractal compression technique relies on the fact that in certain images, parts of the image resemble other parts of the same image.. Vocabulary alert:. Heuristic.  - a problem solving approach . (algorithm) . to find a satisfactory solution where finding an optimal or exact solution is impractical or impossible. .. Lossless Compression.