COURSE OBJECTIVES:
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1 |
To study the relevance and underlining infrastructure of multimedia system. |
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2 |
To enable the students to apply contemporary theories of multimedia learning to the development of multimedia products. |
SYLLABUS:
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UNIT |
DETAILS |
HOURS |
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I |
Multimedia Basics: Multimedia and Hypermedia, Multimedia Software, Editing and Authoring Tools, VRML. Graphics and Image Data Representation— Graphics/Image Data Types, Popular File Formats. Concepts in Video and Digital Audio— Color Science, Color Models in Images, Color Models in Video. Types of Video Signals, Digitization of Sound, MIDI - Musical Instrument Digital Interface, Quantization and Transmission of Audio. |
10 |
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II |
Lossless & Lossy Compression Algorithms— Introduction, Basics of Information Theory, Run-Length Coding, Variable-Length Coding, Dictionary-Based Coding, Arithmetic Coding, Lossless Image Compression. Distortion Measures, The Rate- Distortion Theory, Quantization, Transform Coding, Wavelet-Based Coding, Wavelet Packets, Embedded Zerotree of Wavelet Coefficients, Set Partitioning in Hierarchical Trees (SPIHT). |
12 |
|
III |
Image, Video and Audio Compression — Image Compression -JPEG , JPEG-LS. Basic Video Compression Techniques - Introduction to Video Compression, Video Compression Based on Motion Compensation, MPEG Video Coding— Audio Compression Techniques-—MPEG, ADPCM in Speech Coding, Vocoders, Psychoacoustics, Audio Codecs. |
11 |
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IV |
Storage and Retrieval of Images — Content-Based Retrieval in Digital Libraries: Image retrieval, CBIRD. A Case Study, Image Search Systems, Quantifying Results, Querying on Videos, Querying on Other Formats, Outlook for Content-Based Retrieval. Image Databases—Raw Images, Compress Image Presentations, Image Processing Segmentation, Similarity- Based Retrieval, Alternating Image DB Paradigms, Representing Image DBs with Relations and R Trees, Retrieving Images by Special Layout, Implementations, Selected Commercial Systems. |
13 |
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V |
Multimedia Databases Text/Document Databases—Precision and Recall, Stop Lists, Word Stems and Frequency tables, Latent Semantic Indexing, TV-Trees, Other Retrieval Techniques. Multimedia Databases—Design and Architecture of a Multimedia Database, Organizing Multimedia Data based on the Principle of Uniformity, Media Abstractions, Query Languages for Retrieving Multimedia Data , Indexing SMDSs with Enhanced Inverted Indices, Query Relaxation/ Expansion.
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14 |
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TOTAL HOURS |
60 |
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