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Tribhuvan university CSIT 2065 Syllabus Multimedia Database

Multimedia Database - Syllabus

Course Overview and Structure
Syllabus Notes Old Questions Unit Wise Questions Question Bank

Embark on a profound academic exploration as you delve into the Multimedia Database course () within the distinguished Tribhuvan university's CSIT department. Aligned with the 2065 Syllabus, this course (CSC-456) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 60 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.

This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.


To study advanced aspects of indexing, storage device, retrieval of multimedia information encompassing the principles, research results and commercial application of the current technologies.

Units

Key Topics

  • Multiple Correlation
    MU-1

    Introduction to multiple correlation, its concept, and application in statistics. Exploring the relationship between multiple variables.

  • Partial Correlation
    MU-2

    Understanding partial correlation, its concept, and application in statistics. Analyzing the relationship between two variables while controlling for other variables.

  • Introduction to Multiple Linear Regression
    MU-3

    Basic concepts and principles of multiple linear regression, including model formulation and estimation. Understanding the relationship between multiple independent variables and a dependent variable.

  • Hypothesis Testing of Multiple Regression
    MU-4

    Testing hypotheses in multiple regression, including significance testing and confidence intervals. Evaluating the overall fit and significance of the regression model.

  • Test of Significance of Regression
    MU-5

    Testing the overall significance of the regression model, including F-test and p-value interpretation. Determining whether the regression model is a good fit to the data.

Key Topics

  • Multiple Correlation
    MU-1

    Introduction to multiple correlation, its concept, and application in statistics. Exploring the relationship between multiple variables.

  • Partial Correlation
    MU-2

    Understanding partial correlation, its concept, and application in statistics. Analyzing the relationship between two variables while controlling for other variables.

  • Introduction to Multiple Linear Regression
    MU-3

    Basic concepts and principles of multiple linear regression, including model formulation and estimation. Understanding the relationship between multiple independent variables and a dependent variable.

  • Hypothesis Testing of Multiple Regression
    MU-4

    Testing hypotheses in multiple regression, including significance testing and confidence intervals. Evaluating the overall fit and significance of the regression model.

  • Test of Significance of Regression
    MU-5

    Testing the overall significance of the regression model, including F-test and p-value interpretation. Determining whether the regression model is a good fit to the data.

  • Test of Individual Regression Coefficient
    MU-6

    Testing the significance of individual regression coefficients, including t-test and p-value interpretation. Evaluating the contribution of each independent variable to the regression model.

MIRS architecture, data models and user interface, User interface design and feature Extraction, indexing and similarity measures

Key Topics

  • Types of Statistical Hypotheses
    TE-1

    This topic covers the different types of statistical hypotheses, including null and alternative hypotheses, and their roles in hypothesis testing.

  • Power of the Test and P-Value
    TE-2

    This topic explains the concept of power of the test, p-value, and its use in decision making during hypothesis testing.

  • Steps in Testing of Hypothesis
    TE-3

    This topic outlines the steps involved in testing a hypothesis, from formulating the hypothesis to making a decision based on the test results.

  • One Sample Tests for Mean of Normal Population
    TE-4

    This topic covers one sample tests for the mean of a normal population, including tests for known and unknown variance.

  • Test for Single Proportion
    TE-5

    This topic explains how to conduct a test for a single proportion, including the test statistic and p-value calculation.

  • Test for Difference between Two Means
    TE-6

    This topic covers the test for the difference between two means, including the test statistic and p-value calculation.

  • Test for Difference between Two Proportions
    TE-7

    This topic explains how to conduct a test for the difference between two proportions, including the test statistic and p-value calculation.

  • Paired Sample T-Test
    TE-8

    This topic covers the paired sample t-test, including its application and interpretation.

Audio properties and classification, Speech recognition and retrieval, Music indexing and retrieval

Color-based image indexing and retrieval techniques, Image retrieval based on shape, on texture, Compressed image data, integrated image indexing


Video shot detection or segmentation, video indexing and retrieval, Video representation and abstraction, Architecture of multimedia information management, user interface with example

Filter process, B+ and B trees, Clustering, Multidimensional B+ tree, K-d trees, Grid files, Tree family


QoS management , Design goals, Data storage devices and management , Data  placement on disks, Disks scheduling and admission control, Server configuration and network connection

Process architecture, Computer architecture, Design issues of MOS, QoS support, Multimedia network, Transport protocols, Synchronous presentation

Human Judgment data, Recall and precision pari, Percentage of weighted Hits, Similarity Ranking, Factors affecting retrieval effectiveness

Multimedia search engine, Digital libraries, Video- on-demand, Multimedia security, MPEG- 7, Multimedia database applications

Lab works

There should be labs related to Multimedia Database.