The Best Development Cycle of a Multimedia Project - (Group's Choice)

Multimedia Project Development Cycle

A multimedia product is made up of many ingredients from existing print products or from a multitude of software. Each product has its own set of requirements.


There are many steps to ensure the quality of a multimedia project.

Step 1—Define the project:

• Identify the boundaries, project goals, objectives, scope, risks, issues, budget, timescale and approach
• Discuss with the end user
• Resolve all the conflicts and opposition before starting the project
• Creating Prototype Interfaces
• Demographics of Target Audience 

         Who is your product speaking to:
         • Age
         • Gender
         • Educational background
         • Socioeconomic level
         • Ethnic background
         • Language
         • Profession
         • Expectations

Step 2—Locate resources:

• Identify all the related information sources. For example, CDs, Web sites, encyclopedias, magazines, journals, video tapes, audio tapes, and books.
• The authoring tool is used to pull together and blend all the media elements into a cohesive whole. As the elements come together, the storyboards come to life.

Step 3—Organize resources:

• Decide the notes, data, computer files, and Web links that will be included in the project

Step 4—Design and develop the project:

• Produce a flowchart a storyboard by creating an outline or drawing a diagram

• Design the project by combining all the multimedia elements using digital media tools, for example, video, sound, graphics, text, and animation

Step 5—Present the project:

• Show and give explanation about the project to the end user
• Get the feedback and comments from end user
• Discuss with end user about the aspects that have to be improved

Step 6—Revise the project:

• Improve the project based on the feedback from end user

Step 7—Publish the project:

• Package the final work, for example, save it in CD, videotape or other resources that can be accessed by others
• Publish or deliver the final packaged project to the end user

Source : www.marissaberger.com/blog/2009/02/12/how-to-plan-for-a-multimedia-project/
Source : http://www.projectsmart.com/project-management/the-stages-of-a-project.html

Content-Based Multimedia Information Retrieval - The Digest

The Concept

Content-based multimedia information retrieval makes available of brand new ideas and means for searching through gazillions type of media all over the world. It is literally, the improvised version of multimedia information retrieval (MIR), for MIR system had been developed to become more user-friendly by using content-based methods.

Content-based methods are needed whenever text annotations are non-existent or incomplete. Plus, content-based methods also improve the information retrieval accuracy even when text annotations are present that is by providing additional insights into the media collections.

The typical content-based information retrieval (CBIR) system e.g., an image retrieval system has three major aspects that are (1) feature extraction, (2) high dimensional indexity and (3) system design. Among these three aspects, feature extraction is the basis of CBIR.

How do content-based methods actually improve things ?

The earliest years of multimedia information retrieval had worked using the mechanism of computer vision algorithms of which the mechanism stressed on feature-based similarity search over images, videos and audio. However, this feature-based similarity search concept was inconvenient for the users, for this concept worked in such a way that only scientists could fathom. Therefore, the new approaches were conducted to overcome this problem and the approaches are; (1) relevance feedback and, (2) hidden annotation-- (*relevance feedback is one of the interactive tools in content-based image retrieval). These two approaches have been working with an objective to have the system of retrieval understood the semantics of a query and not simply the low-level underlying computational features. This is because the low-level underlying computational features have a flaw of which the two semantically similar objects may lie far from each other in the feature space, while two completely different objects may stay close to each other. Therefore, this process of improvising is called as "Bridging the semantic gap". This literally means having low-level underlying computational features translated to high-level concepts or terms which would be intuitive to the user. In this brand new improvised system, it meets the two basic necessities for a multimedia information retrieval functions that are (1) searching for a particular media item and, (2) browsing and summarizing a media collection.


With content-based information retrieval, the process of searching pictures online becomes easier as guidance and navigational tools are given for users to get the information they want. These are some of the examples of content-based information retrieval:


1)

 2)

Sources :

From the research by MICHAEL S. LEW (Leiden University, The Netherlands), NICU SEBE (University of Amsterdam, The Netherlands), CHABANE DJERABA (LIFL, France) and RAMESH JAIN (University of California at Irvine, USA).


Paper project of Cha Zhang, Student Member, IEEE, and Tsuhan Chen, Member, IEEE; An Active Learning Framework for Content-Based Information Retrieval.

http://www.youtube.com/watch?v=jy7B0knFfXA