PPT-Media Compression

NUSSOCCS52482015 Roger Zimmermann based in part on slides by Ooi Wei Tsang You are Here Network Encoder Sender Middlebox Receiver Decoder NUSSOCCS52482015 Roger Zimmermann based in part on slides by Ooi Wei Tsang . Xtreme Compression, Inc. is a software design consultancy with special expertise in structured data compression. We apply our proprietary algorithms and source code to compress and encrypt structured data whenever performance beyond the reach of conventional methods is required. Smash the information to bits. Overview. The primary goal of image compression is to minimize the memory footprint of image data so that storage and transmission times are minimized. . Storage capacity can be limited, as is the case with digital cameras. Introduction. Compression is the reduction in size of data in order to save space or transmission time. . Compression is the process of reducing the size of a file by encoding its data information more efficiently . 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 (. Lecture 9: Video, TV & Film. Georgia Gwinnett College. School of Science and Technology. Dr. Jim Rowan. In the next several lectures…. Film & TV & Video & Animation. Issues that arise from conversion. MALCOLM HAYS. Instructional Developer. 573-341-6779. mhays@mst.edu. . WHO ARE WE?. JEFF JENNINGS. Instructional Technologist. 573-647-1140. jenningsje@mst.edu. . WHO ARE WE?. AMY SKYLES. Instructional Technologist. Section A: Digital Sound. Section B: Bitmap Graphics. Section C: Vector and 3-D Graphics. Section D: Digital Video. Section E: Digital Rights Management. Chapter 8: Digital Media. 2. FastPoll True/False Questions. Section A: Digital Sound. Section B: Bitmap Graphics. Section C: Vector and 3-D Graphics. Section D: Digital Video. Section E: Digital Rights Management. Chapter 8: Digital Media. 2. FastPoll True/False Questions. Section A: Digital Sound. Section B: Bitmap Graphics. Section C: Vector and 3-D Graphics. Section D: Digital Video. Section E: Digital Rights Management. Chapter 8: Digital Media. 2. FastPoll True/False Questions. Section A: Digital Sound. Section B: Bitmap Graphics. Section C: Vector and 3-D Graphics. Section D: Digital Video. Section E: Digital Rights Management. Chapter 8: Digital Media. 2. FastPoll True/False Questions. 2. Chapter Contents. Section A: Digital Sound. Section B: Bitmap Graphics. Section C: Vector and 3-D Graphics. Section D: Digital Video. Section E: Digital Rights Management. FastPoll True/False Questions. Gennady Pekhimenko. § . Vivek Seshadri. §. Onur Mutlu. . §. . Michael A. Kozuch. †. Phillip B. Gibbons. † . Todd C. Mowry. . §. § . Carnegie Mellon University . † . Intel Labs Pittsburgh. Avishek Mukherjee and . Zhenghao. Zhang. Department of Computer Science. Florida State University. CSI is simply a complex vector containing the channel coefficients for each subcarrier in an OFDM system.. 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..