ANNA UNIVERSITY, CHENNAI
REGULATIONS - 2013
NC7002 MULTIMEDIA COMPRESSION TECHNIQUES SYLLABUS
NC7002 MULTIMEDIA COMPRESSION TECHNIQUES SYLLABUS
ME 2ND SEM ELECTRONICS AND COMMUNICATION ENGINEERING SYLLABUS
NC7002 MCT SYLLABUS |
To provide in-depth knowledge about
Data Compression
Text Compression and Audio Compression
Image and Video Compression
OUTCOMES:
Students will be able to
Explain Scalar quantization theory and Rate distribution Theory
Understand different coding techniques
Describe Contour based compression and Motion estimation techniques
UNIT I INTRODUCTION
Special features of Multimedia – Graphics and Image Data Representations -Fundamental Concepts in Video and Digital Audio – Storage requirements for multimedia applications -Need for Compression - Taxonomy of compression techniques – Overview of source coding, source models, scalar and vector qua ntization theory – Evaluation techniques – Error analysis and methodologies
UNIT II TEXT COMPRESSION
Compaction techniques – Huffmann coding – Adaptive Huffmann Coding – Arithmatic coding – Shannon-Fano coding – Dictionary techniques – LZW family algorithms.
UNIT III AUDIO COMPRESSION
Audio compression techniques - μ- Law and A- Law companding. Speech compression- waveform codecs-source codecs- hybrid codecs-Shorten compressor, Frequency domain and filtering – Basic sub-band coding – Application to speech coding – G.722 –Application to audio coding – MPEG audio, progressive encoding for audio – Silence compression, speech compression techniques – Formant and CELP Vocoders.
UNIT IV IMAGE COMPRESSION
Predictive techniques – DM, PCM, DPCM: Optimal Predictors and Optimal Quantization– Contour based compression – Transform Coding – JPEG Standard – Sub-band coding algorithms: Design of Filter banks – Wavelet based compression: Implementation using filters – EZW, SPIHT coders – JPEG 2000 standards – JBIG, JBIG2 Standards
UNIT V VIDEO COMPRESSION
Video compression techniques and standards – MPEG Video Coding I: MPEG – 1 and 2 MPEG Video Coding II: MPEG – 4 and 7 – Motion estimation and compensation techniques – H.261 Standard – DVI technology – PLV performance – DVI real time compression – Packet Video.
TOTAL: 45 PERIODS
REFERENCES:
1. Khalid Sayood : Introduction to Data Compression, Morgan Kauffman Harcourt India, 2nd
Edition, 2000.
2. David Salomon : Data Compression – The Complete Reference, Springer Verlag New York Inc., 2nd Edition, 2001.
3. Yun Q.Shi, Huifang Sun : Image and Video Compression for Multimedia Engineering - Fundamentals, Algorithms & Standards, CRC press, 2003.
4. Peter Symes : Digital Video Compression, McGraw Hill Pub., 2004.
5. Mark Nelson : Data compression, BPB Publishers, New Delhi, 1998.
6. Mark S.Drew, Ze-Nian Li : Fundamentals of Multimedia, PHI, 1st Edition, 2003.
7. Watkinson,J : Compression in Video and Audio, Focal press, London, 1995.
8. Jan Vozer : Video Compression for Multimedia, AP Profes, NewYork, 1995
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