Digital Signal Processing

1308 Submissions

[1] viXra:1308.0085 [pdf] submitted on 2013-08-17 09:36:22

Study and Implementation of Image and Video Matting Techniques

Authors: Siddharth Srivastava, Aditya Rastogi, Jasdeep Singh Khurana, Shailly Bhati
Comments: Pages.

Matting is the technique of estimating accurate foreground in images and video. Both image and video matting are very important in terms of both commercial and technological advances. Various television advertisements, educational videos etc. these days use matting techniques to minimize the cost of re-recording the videos or re-capturing the snapshots, instead there is a need of efficient matting techniques to perform these tasks swiftly. It also gives power to insert new elements in a scene seamlessly or transport an entity into a different environment in order to create novel visual artifacts. With the recent advances of digital cameras, using matting techniques to create novel composites or facilitate other editing tasks has gained increasing interests from both professionals as well as consumers. Consequently, various matting techniques and systems have been proposed to try to efficiently extract high quality mattes from both still images and video sequences. The report consists of various matting techniques that have been proposed till date which have relevance in video matting. Our Aim is to introduce Video Matting in Real Time Video Conferencing both for desktop computers and mobile devices such as Cell Phones and Tablets. The common approaches available till date requires manual intervention and are also computationally expensive, hence, for our application, we needed an approach which is not only independent of human intervention but also is computationally effective to handle Real-Time data. The difficulties and challenges of video matting are first analyzed, and various ways if combine matting algorithms with other video processing techniques for building efficient video matting systems are reviewed. Key contributions, advantages as well as limitations of important systems are summarized.
Category: Digital Signal Processing