Ahmad Movahedian Attar

MSc Semester Project


Multiview Video Coding


Ahmad Movahedian Attar


Prof. Touradj Ebrahimi
Assistant: Mourad Ouaret


2008, summer semester




Most video processing and coding systems rely on one single camera, referred to as monoview approach. In the last two decades, extensions to two-camera solutions (also referred to as stereo) have been investigated with limited success in both coding and video analysis applications. Although multiview is also used in solutions with two cameras, in general the term is only used for solutions that use more than two cameras. Multiview video processing has attracted increasing attention recently and has become one of the potential avenues in future video systems, thanks to the reducing cost of cameras. Many tasks can benefit from the availability of multiple views of the same scene, such as interpolation, restoration, segmentation, object recognition, etc. On the other hand, the amount of data captured in multi-view systems is often tremendous, which makes the coding efficiency critical for such systems to make them practical.

In this project, we propose to study the Multiview Video Coding (MVC) scheme from MPEG. This will include the JMVM software. Then, the student has to perform a detailed analysis of MVC’s performance and the influence of different parameters and camera setups on the performance.

The student will have to perform the following tasks:

  1. Study MVC in MPEG and the corresponding software (JMVM) in details.
  2. Analyze the performance of each camera in the MVC setup.
  3. Analyze the performance of MVC with respect to other possible coding schemes such as independent coding of the cameras.
  4. Study the influence of the number of cameras as well as the distance between these cameras on the overall performance of MVC.
  5. The sequences Breakdancers, Ballet and Uli will be used to run the simulations.