Development of a scalable video compression algorithm
The development of multimedia propagations and applications has led to a greater expansion in the field of video transmission over a heterogeneous media as well as iterative delivery platforms with dedicated content requirements. It is known that conventional video coding systems encode video c...
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| Language: | English |
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2012
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| Online Access: | http://irep.iium.edu.my/24632/ http://irep.iium.edu.my/24632/ http://irep.iium.edu.my/24632/1/1378C.pdf |
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iium-246322012-11-26T04:22:14Z http://irep.iium.edu.my/24632/ Development of a scalable video compression algorithm Khalifa, Othman Omran Issa, Sinzobakwira Olanweraju, Rashidah Funke Al Khazmi, El Mahdi A TK5101 Telecommunication. Including telegraphy, radio, radar, television The development of multimedia propagations and applications has led to a greater expansion in the field of video transmission over a heterogeneous media as well as iterative delivery platforms with dedicated content requirements. It is known that conventional video coding systems encode video content with given bitrates adapted to a specific function or application. As a result, conventional video coding does not meet the fundamental requirements of the state-of-the-art flexible digital media application. Meeting the required bandwidth for video transmission is extremely complex resulting in poor video quality. The new technology H.264/AVC, based on scalable video coding appears as a new modus operandi that has the ability to satisfy the underlying requirements. In this paper a rate distortion optimized video frame dropping strategy which can be applied on active network nodes during high traffic intensity for H.264/AVC was developed. To improve the perceptual quality of coded video in a computation-constrained scenario, through controlling per-frame complexity, a rate-distortion optimised (RDO) rate control algorithm for encoding low bit rate video helped to achieve the target bitrates and PSNR using Lagrangian multiplier function. However simulation was conducted using JM and JSVM software. The choice of a scalable video coding framework in this context brings technical and economical advantages. The result shows that the managed complexity algorithm based on Lagrangian Multiplier function outperforms the normal encoder. The comparison between different video streams proves that the scalable video coding leads to good constructed video quality. 2012-07-03 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/24632/1/1378C.pdf Khalifa, Othman Omran and Issa, Sinzobakwira and Olanweraju, Rashidah Funke and Al Khazmi, El Mahdi A (2012) Development of a scalable video compression algorithm. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Kuala Lumpur, Malaysia, 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6271318 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| spellingShingle |
TK5101 Telecommunication. Including telegraphy, radio, radar, television Khalifa, Othman Omran Issa, Sinzobakwira Olanweraju, Rashidah Funke Al Khazmi, El Mahdi A Development of a scalable video compression algorithm |
| description |
The development of multimedia propagations and
applications has led to a greater expansion in the field of video
transmission over a heterogeneous media as well as iterative
delivery platforms with dedicated content requirements. It is
known that conventional video coding systems encode video
content with given bitrates adapted to a specific function or
application. As a result, conventional video coding does not meet
the fundamental requirements of the state-of-the-art flexible
digital media application. Meeting the required bandwidth for
video transmission is extremely complex resulting in poor video
quality. The new technology H.264/AVC, based on scalable video
coding appears as a new modus operandi that has the ability to
satisfy the underlying requirements. In this paper a rate
distortion optimized video frame dropping strategy which can be
applied on active network nodes during high traffic intensity for
H.264/AVC was developed. To improve the perceptual quality of
coded video in a computation-constrained scenario, through
controlling per-frame complexity, a rate-distortion optimised
(RDO) rate control algorithm for encoding low bit rate video
helped to achieve the target bitrates and PSNR using Lagrangian
multiplier function. However simulation was conducted using JM
and JSVM software. The choice of a scalable video coding
framework in this context brings technical and economical
advantages. The result shows that the managed complexity
algorithm based on Lagrangian Multiplier function outperforms
the normal encoder. The comparison between different video
streams proves that the scalable video coding leads to good
constructed video quality. |
| format |
Conference or Workshop Item |
| author |
Khalifa, Othman Omran Issa, Sinzobakwira Olanweraju, Rashidah Funke Al Khazmi, El Mahdi A |
| author_facet |
Khalifa, Othman Omran Issa, Sinzobakwira Olanweraju, Rashidah Funke Al Khazmi, El Mahdi A |
| author_sort |
Khalifa, Othman Omran |
| title |
Development of a scalable video compression algorithm |
| title_short |
Development of a scalable video compression algorithm |
| title_full |
Development of a scalable video compression algorithm |
| title_fullStr |
Development of a scalable video compression algorithm |
| title_full_unstemmed |
Development of a scalable video compression algorithm |
| title_sort |
development of a scalable video compression algorithm |
| publishDate |
2012 |
| url |
http://irep.iium.edu.my/24632/ http://irep.iium.edu.my/24632/ http://irep.iium.edu.my/24632/1/1378C.pdf |
| first_indexed |
2023-09-18T20:36:56Z |
| last_indexed |
2023-09-18T20:36:56Z |
| _version_ |
1777409108094222336 |