|Title of host publication||IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007)|
|Publisher or commissioning body||Institute of Electrical and Electronics Engineers (IEEE)|
|Publication date||Apr 2007|
|Pages||I-1061 - I-1064|
|Number of pages||4|
|Conference||International Conference on Acoustics, Speech, and Signal Processing (ICASSP)|
|Period||1/04/07 → …|
The colour volumetric data which is constructed from a set of multi-view images is capable of providing realistic immersive experience. However it is not widely applicable due to its manifold increase in bandwidth. This paper presents a novel framework to achieve scalable volumetric compression. Based on wavelet transformation, data rearrangement algorithm is proposed to compact volumetric data leading to high efficiency of transformation. The colour data is also rearranged by using the characteristics of human eye sensitivity. Moreover, the pre-processing for adaptive resolution is proposed in this paper. The low resolution overcomes the limitation of the data transmission at low bit rate, whilst the fine resolution improves the synthesised images' quality. The results of our proposed schemes show significant improvement of the compression performance over the traditional 3D coding.
Conference Organiser: IEEE
Rose publication type: Conference contribution
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- multi-view image, volumetric representation, view synthesis, wavelet transforms
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
|Duration||1 Apr 2007 → …|