Multimedia Data Compression and Storage detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&DS 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 & Data Science 6th Sem scheme and its subjects, do visit AI&DS 6th Sem 2021 regulation scheme. For Professional Elective-V scheme and its subjects refer to AI&DS 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
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:
- Construct Huffman codes for given symbol probabilities.
- Encode run lengths with fixed-length code.
- Lempel-Ziv algorithm for adaptive variable-length encoding
- Compress the given word using arithmetic coding based on the frequency of the letters.
- Write a shell script, which converts all images in the current directory in JPEG.
- Write a program to split images from a video without using any primitives.
- Create a photo album of a trip by applying appropriate image dimensions and format.
- Write the code for identifying the popularity of content retrieval from media server.
- Write the code for ensuring data availability in disks using strip based method.
- Program for scheduling requests for data streams.
Course Outcomes:
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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 & Data Science 6th Sem, visit AI&DS 6th Sem subject syllabuses for 2021 regulation.
For all Artificial Intelligence & Data Science results, visit Anna University AI&DS all semester results direct link.