Mr. Buncha Kamolrat Profile

Buncha Kamolrat

at Univ of Surrey

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 15 September 2008 Paper

Rate controlling for color and depth based 3D video coding

B. Kamolrat, W. A. C. Fernando, M. Mrak

Proceedings Volume 7073, 70730W (2008) https://doi.org/10.1117/12.796487

KEYWORDS: Video, 3D image processing, 3D acquisition, Video coding, Cameras, Eye, Computer programming, Distortion, Detection and tracking algorithms, Image processing

Read Abstract +

Rate control is a very important tool for any kind of video coding and transmission. Even though there are many rate control techniques designed for 2D video, not much work has been carried out in this area for 3D video. In this paper, a novel rate control approach for 3D video based on color and depth maps is introduced. The aim of this rate control algorithm is to keep the 3D video quality near constant. Since the 3D video is synthesized from color and depth maps and the final quality of 3D video is more influenced by color sequence rather than depth maps, the qualities of both color and depth maps are firstly varied until the target 3D quality is achieved with minimal bit rate. Subsequently, the PSNR of both color and depth maps at the optimum point are maintained for the entire group of picture (GOP). The bit-allocation problem is solved by introducing a Lagrangian optimization cost function. According to experimental results, the proposed rate control technique is capable to adjust the bit rate allocated to the color and depth maps sequences adaptively in order to maximize 3D video quality which is measured by PSNR of the synthesized left and right views using reconstructed color and depth map sequences.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years