Weighted Combination of Sample Based and Block Based Intra Prediction in Video Coding
(2016) In Master's Theses in Mathematical Sciences FMA820 20152Mathematics (Faculty of Engineering)
- Abstract
- The latest standard within video compression, HEVC/H.265, was released during 2013 and provides a significant improvement from its predecessor AVC/H.264. However, with a constantly increasing demand for high denition video and streaming of large video files, there are still improvements that can be done. Difficult content in video sequences, for example smoke, leaves and water that moves irregularly, is being hard to predict and can be troublesome at the prediction stage in the video compression. In this thesis, carried out at Ericsson in Stockholm, the combination of sample based intra prediction (SBIP) and block based intra prediction (BBIP) is tested to see if it could improve the prediction of video sequences containing difficult... (More)
- The latest standard within video compression, HEVC/H.265, was released during 2013 and provides a significant improvement from its predecessor AVC/H.264. However, with a constantly increasing demand for high denition video and streaming of large video files, there are still improvements that can be done. Difficult content in video sequences, for example smoke, leaves and water that moves irregularly, is being hard to predict and can be troublesome at the prediction stage in the video compression. In this thesis, carried out at Ericsson in Stockholm, the combination of sample based intra prediction (SBIP) and block based intra prediction (BBIP) is tested to see if it could improve the prediction of video sequences containing difficult content, here focusing on water. The combined methods are compared to HEVC intra prediction. All implementations have been done in Matlab. The results show that a combination reduces the Mean Squared Error (MSE) as well as could improve the Visual Information Fidelity (VIF) and the mean Structural Similarity (MSSIM). Moreover the visual quality was improved by more details and less blocking artefacts. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8626513
- author
- Sidwall Thygesen, Signe LU
- supervisor
- organization
- course
- FMA820 20152
- year
- 2016
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Video Coding, Intra Prediction
- publication/series
- Master's Theses in Mathematical Sciences
- report number
- LUTFMA-3286-2016
- ISSN
- 1404-6342
- other publication id
- 2016:E2
- language
- English
- id
- 8626513
- date added to LUP
- 2016-04-12 16:55:55
- date last changed
- 2016-04-12 16:55:55
@misc{8626513, abstract = {{The latest standard within video compression, HEVC/H.265, was released during 2013 and provides a significant improvement from its predecessor AVC/H.264. However, with a constantly increasing demand for high denition video and streaming of large video files, there are still improvements that can be done. Difficult content in video sequences, for example smoke, leaves and water that moves irregularly, is being hard to predict and can be troublesome at the prediction stage in the video compression. In this thesis, carried out at Ericsson in Stockholm, the combination of sample based intra prediction (SBIP) and block based intra prediction (BBIP) is tested to see if it could improve the prediction of video sequences containing difficult content, here focusing on water. The combined methods are compared to HEVC intra prediction. All implementations have been done in Matlab. The results show that a combination reduces the Mean Squared Error (MSE) as well as could improve the Visual Information Fidelity (VIF) and the mean Structural Similarity (MSSIM). Moreover the visual quality was improved by more details and less blocking artefacts.}}, author = {{Sidwall Thygesen, Signe}}, issn = {{1404-6342}}, language = {{eng}}, note = {{Student Paper}}, series = {{Master's Theses in Mathematical Sciences}}, title = {{Weighted Combination of Sample Based and Block Based Intra Prediction in Video Coding}}, year = {{2016}}, }