Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/25842
Author(s): | Conti, C. Lucas, L. Nunes, P. Soares, L. Rodrigues, N. Pagliari, C. Silva, E. Faria, S. |
Date: | 2014 |
Title: | Locally linear embedding-based prediction for 3D holoscopic image coding using HEVC |
Volume: | 1 |
Book title/volume: | Proceedings of the 22nd European Signal Processing Conference (EUSIPCO) |
Reference: | Conti, C., Lucas, L., Nunes, P., Soares, L., Rodrigues, N., Pagliari, C., Silva, E., & Faria, S. (2014). Locally linear embedding-based prediction for 3D holoscopic image coding using HEVC. Proceedings of the 22nd European Signal Processing Conference (EUSIPCO). IEEE.http://hdl.handle.net/10071/25842 |
ISSN: | 2076-1465 |
ISBN: | 978-0-9928-6261-9 |
Keywords: | 3D holoscopic image coding Image prediction Locally linear embedding HEVC |
Abstract: | Holoscopic imaging is a prospective acquisition and display solution for providing true 3D content and fatigue-free 3D visualization. However, efficient coding schemes for this particular type of content are needed to enable proper storage and delivery of the large amount of data involved in these systems. Therefore, this paper proposes an alternative HEVC-based coding scheme for efficient representation of holoscopic images. In this scheme, some directional intra prediction modes of the HEVC are replaced by a more efficient prediction framework based on locally linear embedding techniques. Experimental results show the advantage of the proposed prediction for 3D holoscopic image coding, compared to the reference HEVC standard as well as previously presented approaches in this field. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | IT-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Size | Format | |
---|---|---|---|
conferenceobject_17645.pdf | 1,14 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.