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Layer assignment based on depth data distribution for multiview-plus-depth scalable video coding
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (Realistic3D)ORCID iD: 0000-0003-3751-6089
2011 (English)In: IEEE transactions on circuits and systems for video technology (Print), ISSN 1051-8215, E-ISSN 1558-2205, Vol. 21, no 6, p. 742-754Article in journal (Refereed) Published
Abstract [en]

Three dimensional (3D) video is experiencing a rapid growth in a number of areas including 3D cinema, 3DTV and mobile phones. Several problems must to be addressed to display captured 3D video at another location. One problem is how torepresent the data. The multiview plus depth representation of a scene requires a lower bit rate than transmitting all views required by an application and provides more information than a 2D-plus-depth sequence. Another problem is how to handle transmission in a heterogeneous network. Scalable video coding enables adaption of a 3D video sequence to the conditions at the receiver. In this paper we present a scheme that combines scalability based on the position in depth of the data and the distance to the center view. The general scheme preserves the center view data, whereas the data of the remaining views are extracted in enhancement layers depending on distance to the viewer and the center camera. The data is assigned into enhancement layers within a view based on depth data distribution. Strategies concerning the layer assignment between adjacent views are proposed. In general each extracted enhancement layer increases the visual quality and PSNR compared to only using center view data. The bit-rate per layer can be further decreased if depth data is distributed over the enhancement layers. The choice of strategy to assign layers between adjacent views depends on whether quality of the fore-most objects in the scene or the quality of the views close to the center is important.

Place, publisher, year, edition, pages
2011. Vol. 21, no 6, p. 742-754
Keywords [en]
H.264/AVC; multiview; scalable video coding
National Category
Computer Engineering Signal Processing
Identifiers
URN: urn:nbn:se:miun:diva-11435DOI: 10.1109/TCSVT.2011.2130350ISI: 000291356500005Scopus ID: 2-s2.0-79957982475Local ID: STCOAI: oai:DiVA.org:miun-11435DiVA, id: diva2:311475
Projects
Medi3DDigital 3D-reklamAvailable from: 2010-04-21 Created: 2010-04-21 Last updated: 2018-01-12Bibliographically approved
In thesis
1. Coding for Improved Perceived Quality of 2D and 3D Video over Heterogeneous Networks
Open this publication in new window or tab >>Coding for Improved Perceived Quality of 2D and 3D Video over Heterogeneous Networks
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The rapid development of video applications for TV, the internet and mobile phones is being taken one step further in 2010 with the introduction of stereo 3D TV. The 3D experience can be further improved using multiple views in the visualization. The transmission of 2D and 3D video at a sufficiently perceived quality is a challenge considering the diversity in content, the resources of the network and the end-users.Two problems are addressed in this thesis. Firstly, how to improve the perceived quality for an application with a limited bit rate. Secondly, how to ensure the best perceived quality for all end-users in a heterogeneous network.

A solution to the first problem is region-of-interest (ROI) video coding, which adapts the coding to provide a better quality in regions of interest to the viewer. A spatio-temporal filter is proposed to provide codec and standard independent ROI video coding. The filter reduces the number of bits necessary to encode the background and successfully re-allocate these bits to the ROI. The temporal part of the filter reduces the complexity compared to only using a spatial filter. Adaption to the requirements of the transmission channel is possible by controlling the standard deviation of the filter. The filter has also been successfully applied to 3D video in the form of 2D-plus-depth, where the depth data was used in the detection of the ROI.

The second problem can be solved by providing a video sequence that has the best overall quality. Hence, the best quality for each part of the network and for each 2D and 3D visualization system over time. Scalable video coding enables the extraction of the parts of the data to adapt to the requirements of the network and the end-user. A scheme is proposed in this thesis that provides scalability in the depth and view domain of multi-view plus depth video. The data are divided into enhancement layers depending on the content’s distance to the camera. Schemes to divide the data into layers within a view and between adjacent views have been analyzed. The quality evaluation indicates that the position of the layers in depth as well as the number of layers should be determined by analyzing the depth distribution. The front-most layers in adjacent views should be given priority over the others unless the application requires a high quality of the center views.

Abstract [sv]

Den snabba utvecklingen av videoapplikation för TV, Internet och mobiltelefoner tar ytterliggare ett steg i och med introduceringen av stereo 3D TV under 2010. Upplevelsen av 3D kan förstärkas ytterliggare genom att använda multipla vyer i visualiseringen. Skillnaden i innehåll, nätverksresurser och slutanvändare gör överföring av 2D och 3D video med en tillräcklig hög upplevd kvalitet till en utmaning. För det första, hur man ökar den upplevda kvalitén hos en applikation med en begränsad överföringshastighet. För det andra, hur man tillhandahåller den bästa upplevda kvalitén hos alla slutanvändare i ett heterogent nätverk.

Region-of-interest (ROI) videokodning är en lösning till det första problemet, vilken anpassar kodningen för att ge högre kvalitet i regioner som är intressanta för användaren. Ett spatio-temporalt filter är föreslaget för att tillhandahålla codec- och standardoberoende ROI videokodning. Filtret reducerar antalet bitar som krävs för att koda bakgrunden och omfördelar dessa till ROI:t. Den temporala delen av filtret minskar komplexiteten jämfört med att använda enbart spatiala filter. Filtret kan anpassas till överföringshastigheten genom att ändra standardavvikelsen för filtret. Filtret har också˙ använts på˙ 3D video i formen 2D-plus-depth, där djupdata användes i ROI detektionen.

Det andra problemet kan lösas genom att tillhandahålla en videosekvens som har högsta möjliga kvalitet i hela nätverket. Därmed även den bästa kvaliteten för for varje del av nätverket och för varje 2D- och 3D-skärm. Skalbar videokodning gör det möjligt att extrahera delar av datan för anpassning till de rådande förutsättningarna. En metod som ger skalbarhet i djupet och mellan kameravyer hos multi-view plus depth video har föreslagits. Videosekvensen delas upp i lager beroende på innehållets avstånd till kameran. Metoder för att fördela data över lager i djupet och mellan närliggande vyer har analyserats. Kvalitetsutvärderingen visar att lagrens position i djupet och antalet lager bör bestämmas utifrån fördelningen av djupdata. De främsta lagren i närliggande vyer bör ges högre prioritet om inte applikationen kräver hög kvalitet hos vyer i centrum.

Place, publisher, year, edition, pages
Sundsvall: Mittuniversitetet, 2010. p. 87
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 87
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:miun:diva-11461 (URN)978-91-86073-78-7 (ISBN)
Public defence
2010-05-27, O111, O-Huset, Holmgatan 10, Sundsvall, 10:00 (English)
Opponent
Supervisors
Projects
Medi3D3D-reklamMediaSense
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2018-01-12Bibliographically approved

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Karlsson, Linda SofiaSjöström, Mårten

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