'Huffman coding' diaporamas de présentation

Multimedia Technology

Multimedia Technology. Tutor: Sebastian Keller Email: sebastian.keller@uni-mannheim.de Date: 07.06.2015. Navigation. Exercise Sheet 1 Exercise Sheet 2 Exercise Sheet 3 Exercise Sheet 4 Exercise Sheet 5 Exercise Sheet 6 Exercise Sheet 7 Exercise Sheet 8 Exercise Sheet 9

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Processing of large document collections

Processing of large document collections. Part 4. Text compression. Despite a continuous increase in storage and transmission capacities, more and more effort has been put into using compression to increase the amount of data that can be handled

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An Introduction to Image Compression

An Introduction to Image Compression. Speaker: Wei-Yi Wei Advisor: Jian-Jung Ding Digital Image and Signal Processing Lab GICE, National Taiwan University. Outline. Image Compression Fundamentals General Image Storage System Color Space Reduce correlation between pixels

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Entropy coding

Entropy coding. Present by ???. constraints. Compression efficiency Computational efficiency Error robustness. Encoding. DCT Reordering Run-level coding Entropy coding. Encoding. DCT Reordering Run-level coding Entropy coding. DCT. Reordering.

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Data Compression

Data Compression. Data compression is the representation of an information source (e.g. a data file, a speech signal, an image, or a video signal) as accurately as possible using the fewest number of bits. Compressed data can only be understood if the decoding method is known by the receiver.

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Digital image processing Chapter 11. Image compression

Digital image processing Chapter 11. Image compression. 11. IMAGE COMPRESSION 11.1. Introduction 11.2. Pixel level coding PCM coding Entropic coding RL coding Arithmetic coding 11.3. Predictive coding techniques Principles of the predictive coding Delta modulation 1-D DPCM

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Surface compression

Surface compression. Comparison between methods of lossy compression Liad serruya. Motivation. Computer games and distributed virtual environments must often operate on systems where available resources are highly constrained.

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Fundamentals of Multimedia Chapter 7 Lossless Compression Algorithms Ze-Nian Li and Mark S. Drew

Fundamentals of Multimedia Chapter 7 Lossless Compression Algorithms Ze-Nian Li and Mark S. Drew. ????? ????????? ? ? ?. Outline. 7.1 Introduction 7.2 Basics of Information Theory 7.3 Run-length Coding 7.4 Variable-length Coding 7.4.1 Shannon-Fano Algorithm 7.4.2 Huffman Coding

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Greedy Algorithms (Huffman Coding)

Greedy Algorithms (Huffman Coding). Huffman Coding. Huffman coding. A technique to compress data effectively Usually between 20%-90% compression Lossless compression No information is lost When decompress, you get the original file. Compressed file. Original file.

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Spatial and Temporal Data Mining

Spatial and Temporal Data Mining. V. Megalooikonomou. Data Compression. General Overview. Data Compression Run Length Coding Huffman Coding PCM, DPCM, ADPCM Quantization Scalar quantization Vector quantization Image Compression Video Compression. Data Compression.

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V. Megalooikonomou Data Compression

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????? ????? ???????? ? ? ? sjoh@media.kwangwoon.ac.kr

JPEG ?? (Introduction to JPEG). ????? ????? ???????? ? ? ? sjoh@media.kwangwoon.ac.kr. JPEG ( ISO/CCITT ) ?? : ??. JPEG : (Joint Photographic Experts Group) : ISO/IEC & CCITT Working Group.

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So far

So far. Audio (scalar values with time), image (2-D data) and video (2-D with time) Higher fidelity means more data (more quantization resolution, more pixel resolution etc.) Human physiology can help achieve better compression because of limitations of human hearing, vision etc.

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JPEG Compression

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CIS679: Multimedia Basics

CIS679: Multimedia Basics. Multimedia data type Basic compression techniques. Multimedia Data Type. Audio Image Video. Audio . Digitization Sampling Quantization Coding Higher sampling rate -> higher quality

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Lossless Compression - II

Lossless Compression - II. Hao Jiang Computer Science Department Sept. 18, 2007. Properties of Huffman Coding. Huffman coding uses longer codewords for symbols with smaller probabilities and shorter codewords for symbols that often occur.

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File Compression Using the CUDA Framework

File Compression Using the CUDA Framework. Brandon Grant Tomas Mann Florida State University Spring 2010 Multicore Programming CIS4930. Contents. Introduction Implementation Performance Conclusions. Introduction. Why is compression important? Limited disk space

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Analysis of Algorithms Chapter - 08 Data Compression

Analysis of Algorithms Chapter - 08 Data Compression. This Chapter Contains the following Topics: Why Data Compression? Lossless and Lossy Compression Fixed-Length Coding Variable-Length Coding 5. Huffman Coding. Why Data Compression?. What is data compression?

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Data Compression (1)

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HUFFMAN CODING

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