Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106911
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Chan, YL | - |
dc.creator | Fu, CH | - |
dc.creator | Chen, H | - |
dc.creator | Tsang, SH | - |
dc.date.accessioned | 2024-06-07T00:58:50Z | - |
dc.date.available | 2024-06-07T00:58:50Z | - |
dc.identifier.issn | 1751-9675 | - |
dc.identifier.uri | http://hdl.handle.net/10397/106911 | - |
dc.language.iso | en | en_US |
dc.publisher | The Institution of Engineering and Technology | en_US |
dc.rights | © The Institution of Engineering and Technology 2019 | en_US |
dc.rights | This is the peer reviewed version of the following article: Chan, Y.-L., Fu, C.-H., Chen, H. and Tsang, S.-H. (2020), Overview of current development in depth map coding of 3D video and its future. IET Signal Process., 14: 1-14, which has been published in final form at https://doi.org/10.1049/iet-spr.2019.0063. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. | en_US |
dc.title | Overview of current development in depth map coding of 3D video and its future | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 14 | - |
dc.identifier.volume | 14 | - |
dc.identifier.issue | 1 | - |
dc.identifier.doi | 10.1049/iet-spr.2019.0063 | - |
dcterms.abstract | 3D videos have attracted attention from academia and industry after great success in the film industry. Multiview video plus depth (MVD) is the most popular 3D video format to provide vivid 3D feeling and has been adopted as an international 3D video coding standard, namely 3D extension of high efficiency video coding (HEVC). MVD includes a limited number of textures and depth maps to synthesise virtual views. In MVD, depth samples describe the distance between a camera and an actual object as a grey-level image. The characteristics of depth maps are quite different from texture images. Consequently, new coding tools are designed for depth maps in 3D-HEVC to improve the coding efficiency at the expense of high-computational complexity, which faces great challenges in coding systems. Depth map coding is also an important technique in immersive media to support three degrees of freedom 3DoF+/6DoF applications such as virtual reality/augmented reality. The study starts with an overview of what has been done over the last decade in 3D-HEVC, especially depth map coding, regarding theories, methodologies, current research and state-of-the-art fast approaches. Following this, a comprehensive comparison of the reviewed techniques is presented, and an outlook on its future trends is provided. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IET signal processing, Feb. 2020, v. 14, no.1, p. 1-14 | - |
dcterms.isPartOf | IET signal processing | - |
dcterms.issued | 2020-02 | - |
dc.identifier.scopus | 2-s2.0-85079462248 | - |
dc.identifier.eissn | 1751-9683 | - |
dc.description.validate | 202405 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EIE-0234 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 20253271 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Chan_Overview_Current_Development.pdf | Pre-Published version | 1.86 MB | Adobe PDF | View/Open |
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