Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: EEE333
Module Title: Multimedia Information Retrieval and Technology
Module Level: Level 3
Module Credits: 5.00
Academic Year: 2019/20
Semester: SEM1
Originating Department: Electrical and Electronic Engineering
Pre-requisites: N/A
The aim of this module is to present the basic and advanced techniques for text-based information systems: efficient text indexing; Boolean and vector space retrieval models; evaluation and interface issues; text/Web clustering, classification; text mining.

The module also covers the fundamentals of multimedia, including image, audio and digital video. The module covers content-based operations such as indexing, retrieval, filtering, summarization, and information extraction and is applied to text, image, spoken audio and digital video information.

Students learn modern methods for the capture, encoding, storage, transmission and presentation of digital multimedia information including both the underlying information theory and media specific techniques for perceptual coding.

Learning outcomes 
A. Gain the knowledge of principles underlying information retrieval systems and the information theory.

B. Apply information retrieval techniques to a range of applied problems and evaluate the performance of an information retrieval system.

C. Interpret requirements of an information retrieval system, and design a suitable solution for practical applications.

D. Theoretically analyse the coding problems and apply compression techniques to a range of applied problems.

E. Design appropriate coding algorithms to a variety of coding problems.

Method of teaching and learning 
This module will be delivered through a combination of formal lectures and tutorials.
1. Basic information retrieval operations.

Covering indexing, retrieval, filtering, clustering, summarization, abstraction.

2. Information retrieval on text

Retrieval using metadata including SGML, XML, XSL, HTML, stemming and stop words, inverted files, term weighting, term weighting models, relevance feedback, query expansion. Ranking retrieval:

Vector space model, variant weighting schemes, scoring. Probabilistic information retrieval and text classification: Naïve Bayes text classification, Rocchio classification

3. Evaluation of information retrieval system

Precision and recall, average precision, mean average precision, normalized discounted cumulative gain

4. Information theory

An introduction to the basics of information theory including information content, information entropy and the Shannon value.

5. Lossless coding

Run-length coding, differential coding, discrete cosine transforms, Huffman coding (static and adaptive), arithmetic coding (static and dynamic), LZW coding, LZ77 coding.

6. Digitization

Digitation of analogue data, sampling, Nyquist's theorem, aliasing, the role of band-limiting filters.

7. Images

GIF, PNG and JPEG image formats, perceptual coding of image data

8. Information retrieval on image

Indexing images by color histograms, by texture, by shape; Indexing images by recognized objects.

9. Audio

Pulse-code modulation (PCM), common audio formats, predictive coding, basics of the human auditory system, perceptual coding of audio data, MPEG Layer III audio coding

10. Information retrieval on audio

Speech recognition and indexing by words, by phones; Retrieval vs. browsing in digital audio; Example audio retrieval systems.

11. Video

Motion JPEG, differential coding of video data, MPEG video coding, architecture of an MPEG encoder/decoder

Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 28     6  20    96  150 


Sequence Method % of Final Mark
1 Written Examination 70.00
2 Lab Report 1 15.00
3 Lab Report 2 15.00

Module Catalogue generated from SITS CUT-OFF: 6/2/2020 12:47:13 AM