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Shared Coded Picture Technique for Tile-Based Viewport-Adaptive Streaming of Omnidirectional Video
- Source :
- IEEE Transactions on Circuits and Systems for Video Technology. 29:3106-3120
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- Tile-based viewport-adaptive streaming methods have been used in delivering omnidirectional video for virtual reality applications. In these methods, the 360° video is encoded in multiple quality versions by using the motion constrained tile set (MCTS) technique. A set of high-quality and low-quality tiles, corresponding to viewport and non-viewport areas, respectively, are selected and transmitted to the user. However, these methods require frequent intra random access points to ensure seamless viewport switching capability, very high decoding complexity, or a multi-layer coding scheme. The frequent intra random access points include very high bitrate in viewport switching points. The high decoding complexity and multi-layer decoder requirements are not aligned with the omnidirectional media format (OMAF) standard. Such requirements make these methods sub-optimal or impractical for streaming the omnidirectional video. This paper studies the current tile-based solutions for delivering the omnidirectional content. Moreover, the OMAF-compliant shared coded picture (SCP)-based scheme is proposed in this paper for streaming the omnidirectional video. The core concept of the SCP-based method is to manipulate the switching point pictures in a way that the frequent intra-coded pictures are no longer required for the viewport switching operations between different quality versions of the content. The experiments illustrated that the SCP-based method outperforms the MCTS-based method on average by 11% to 14% in terms of streaming bitrate reduction with only 4% extra decoding complexity.
- Subjects :
- Viewport
business.industry
Computer science
02 engineering and technology
Virtual reality
visual_art
Bit rate
0202 electrical engineering, electronic engineering, information engineering
Media Technology
visual_art.visual_art_medium
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Tile
Electrical and Electronic Engineering
business
Omnidirectional antenna
Subjects
Details
- ISSN :
- 15582205 and 10518215
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Circuits and Systems for Video Technology
- Accession number :
- edsair.doi...........9de6df347b6bd2314c2c25524e58211b
- Full Text :
- https://doi.org/10.1109/tcsvt.2018.2874179