Multimedia Data Compression and Storage detailed syllabus for Artificial Intelligence & Machine Learning (AI&ML) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&ML students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Artificial Intelligence & Machine Learning 6th Sem scheme and its subjects, do visit AI&ML 6th Sem 2021 regulation scheme. For Professional Elective-V scheme and its subjects refer to AI&ML Professional Elective-V syllabus scheme. The detailed syllabus of multimedia data compression and storage is as follows.
Course Objectives:
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Unit I
BASICS OF DATA COMPRESSION
Introduction —Lossless and LossyCompression- Basics of Huffmann coding- Arithmetic codingDictionary techniques- Context based compression – Applications
Unit II
IMAGE COMPRESSION 7^
Lossless Image compression – JPEG-CALIC-JPEG LS-Prediction using conditional averages -Progressive Image Transmission – Lossless Image compression formats – Applications -Facsimile encoding
Unit III
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Unit IV
DATA PLACEMENT ON DISKS
Statistical placement on Disks – Striping on Disks – Replication Placement on Disks – Constraint allocation on Disks – Tertiary storage Devices – Continuous Placement on Hierarchical storage system – Statistical placement on Hierarchical storage systems – Constraint allocation on Hierarchical storage system
Unit V
DISK SCHEDULING METHODS
Scheduling methods for disk requests – Feasibility conditions of concurrent streams- Scheduling methods for request streams
List of Experiments:
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Course Outcomes:
- Understand the basics of text, Image and Video compression
- Understand the various compression algorithms for multimedia content
- Explore the applications of various compression techniques
- Explore knowledge on multimedia storage on disks
- Understand scheduling methods for request streams
Text Books:
- Khalid Sayood, Introduction to Data Compression, Morgan Kaufmann Series in Multimedia Information and Systems, 2018, 5th Edition.
- Philip K.C.Tse, Multimedia Information Storage and Retrieval: Techniques and Technologies, 2008
Reference Books:
- David Salomon, A concise introduction to data compression, 2008.
- Lenald Best, Best’s Guide to Live Stream Video Broadcasting, BCB Live Teaching series, 2017.
- Yun-Qing Shi, Image And Video Compression For Multimedia Engineering Fundamentals Algorithms And Standards, Taylor& Francis,2019
- Irina Bocharova, Compression for Multimedia, Cambridge University Press; 1st edition, 2009
For detailed syllabus of all the other subjects of Artificial Intelligence & Machine Learning 6th Sem, visit AI&ML 6th Sem subject syllabuses for 2021 regulation.
For all Artificial Intelligence & Machine Learning results, visit Anna University AI&ML all semester results direct link.