A Content-Based Optimization of Data Stream Television Multiplex
The television multiplex has reserved capacity and therefore we can use only limited number of videos for propagation of it. Appropriate composition of the multiplex has a major impact on how many videos is spread by multiplex. Therefore in this paper is designed a simple algorithm to optimize capacity utilization multiplex. Significant impact on the number of programs in the multiplex has also the fact from which programs is composed. Content of multiplex can be movies, news, sport, animated stories, documentaries, etc. These types have their own specific characteristics that affect their resulting data stream. In this paper is also done an impact analysis of the composition of the multiplex to use its capacity by video content.
[1] TechnischeUniversitätMünchen, Institute for Data Processing, TUM
Multi Format Test Set. (Online). Available: www.ldv.ei.tum.de/videolab,
2011.
[2] Video sequences are owned by NTIA/ITS, an agency of the U.S. Federal
Government, Project Number 3141012-300, Video Quality Research,
2008.
[3] Blender Foundation / Netherlands Media Art Institute Available:
www.elephantsdream.org, 2006.
[4] Blender Foundation / www.bigbuckbunny.org, 2008.
[5] EN 300 429 V1.2.1,Digital Video Broadcasting (DVB); Framing
structure, channel coding and modulation for cable systems, European
Broadcasting Union, ETSI, Sophia AntipolisCedex, April 1998.
[6] Balakrishnan, M., Cohen, R., "Global Optimization of Multiplexed
Video Encoders", Proceeding ICIP '97 Proceedings of the 1997
International Conference on Image Processing (ICIP '97). Vol. 1., Santa
Barbara 1997, pp. 377 - 380.
[7] Hoang, D.T., Vitter, J.S., "Multiplexing Vbr Video Sequences Onto A
CBR Channel With Lexicographic Optimization", Proceeding ICIP '97
Proceedings of the 1997 International Conference on Image Processing
(ICIP '97). Vol. 1., Santa Barbara 1997, pp. 369 - 372.
[8] He, Z., Wu, D.O., ‘‘Linear Rate Control and Optimum Statistical
Multiplexing for H.264 Video Broadcast", IEEE Trans. Multimedia, vol.
10, no. 7, pp. 1237–1249, 2008.
[9] Changuel, N., Sayadi, B., Kieffer, M., ‘‘Predictive Control for Efficient
Statistical Multiplexing of Digital Video Programs’’, in Proc. IEEE Int.
Packet Video Workshop, 2009, pp. 1–9.
[10] Changuel, N., Sayadi, B., Kieffer, M.,“Statistical Multiplexing of Video
Programs”,IEEE Vehicular Technolology Magazine, September 2009,
pp. 62 - 68.
[11] Moiron, S., Razavi, R., Fleury, M.,Ghanbari, M.,“Statistical
Multiplexing of Transcoded IPTV Streams Based on Content
Complexity”, Mobile Multimedia Communications, Lecture Notes of the
Institute for Computer Sciences, Social Informatics and
Telecommunications Engineering, Vol. 77, Springer 2012, pp 60-73.
[12] Kocisky, M., Vargic, R., Kotuliak, I., "Wavelet-domain based estimation
of self-similarity in signals", in Proceeding of RTT 2006, pp. 441-444.
[13] Šikudová, E.,Possibilities of Automatic Image Data Classification, PhD.
Thesis, UK Bratislava, 2006.
[14] Atrey, Pradeep, K., Anwar, M.:“Multimodal fusion for multimedia
analysis”, Multimedia systems,vol. 16, Springer-Verlag 2010, pp. 345-
379.
[15] Gulen, Elvan, Turgay, Y., Yazici. A. “Multimodal Information Fusion
for Semantic Video Analysis”, International Journal of Multimedia
Data Engineering and Management (IJMDEM) 3.4, 2012, pp. 52-74.
[16] Smeaton, A. F., Wessel Kraaij, P. O.:” High-Level Feature Detection
from Video inTRECVid: a 5-Year Retrospective of Achievements”,
Published in A. Divakaran (ed.), Multimedia Content Analysis, Signals
and CommunicationTechnology, DOI 10.1007/978-0-387-76569-3 6,
SpringerScience+BusinessMedia, LLC 2009, pp. 151-174.
[17] Smeaton, A. F., Over, P., Doherty, A.R.,”Video shot boundary
detection: Seven years of TRECVid activity”,Computer Vision and
Image Understanding, vol. 114, 2010, pp. 411-418.
[1] TechnischeUniversitätMünchen, Institute for Data Processing, TUM
Multi Format Test Set. (Online). Available: www.ldv.ei.tum.de/videolab,
2011.
[2] Video sequences are owned by NTIA/ITS, an agency of the U.S. Federal
Government, Project Number 3141012-300, Video Quality Research,
2008.
[3] Blender Foundation / Netherlands Media Art Institute Available:
www.elephantsdream.org, 2006.
[4] Blender Foundation / www.bigbuckbunny.org, 2008.
[5] EN 300 429 V1.2.1,Digital Video Broadcasting (DVB); Framing
structure, channel coding and modulation for cable systems, European
Broadcasting Union, ETSI, Sophia AntipolisCedex, April 1998.
[6] Balakrishnan, M., Cohen, R., "Global Optimization of Multiplexed
Video Encoders", Proceeding ICIP '97 Proceedings of the 1997
International Conference on Image Processing (ICIP '97). Vol. 1., Santa
Barbara 1997, pp. 377 - 380.
[7] Hoang, D.T., Vitter, J.S., "Multiplexing Vbr Video Sequences Onto A
CBR Channel With Lexicographic Optimization", Proceeding ICIP '97
Proceedings of the 1997 International Conference on Image Processing
(ICIP '97). Vol. 1., Santa Barbara 1997, pp. 369 - 372.
[8] He, Z., Wu, D.O., ‘‘Linear Rate Control and Optimum Statistical
Multiplexing for H.264 Video Broadcast", IEEE Trans. Multimedia, vol.
10, no. 7, pp. 1237–1249, 2008.
[9] Changuel, N., Sayadi, B., Kieffer, M., ‘‘Predictive Control for Efficient
Statistical Multiplexing of Digital Video Programs’’, in Proc. IEEE Int.
Packet Video Workshop, 2009, pp. 1–9.
[10] Changuel, N., Sayadi, B., Kieffer, M.,“Statistical Multiplexing of Video
Programs”,IEEE Vehicular Technolology Magazine, September 2009,
pp. 62 - 68.
[11] Moiron, S., Razavi, R., Fleury, M.,Ghanbari, M.,“Statistical
Multiplexing of Transcoded IPTV Streams Based on Content
Complexity”, Mobile Multimedia Communications, Lecture Notes of the
Institute for Computer Sciences, Social Informatics and
Telecommunications Engineering, Vol. 77, Springer 2012, pp 60-73.
[12] Kocisky, M., Vargic, R., Kotuliak, I., "Wavelet-domain based estimation
of self-similarity in signals", in Proceeding of RTT 2006, pp. 441-444.
[13] Šikudová, E.,Possibilities of Automatic Image Data Classification, PhD.
Thesis, UK Bratislava, 2006.
[14] Atrey, Pradeep, K., Anwar, M.:“Multimodal fusion for multimedia
analysis”, Multimedia systems,vol. 16, Springer-Verlag 2010, pp. 345-
379.
[15] Gulen, Elvan, Turgay, Y., Yazici. A. “Multimodal Information Fusion
for Semantic Video Analysis”, International Journal of Multimedia
Data Engineering and Management (IJMDEM) 3.4, 2012, pp. 52-74.
[16] Smeaton, A. F., Wessel Kraaij, P. O.:” High-Level Feature Detection
from Video inTRECVid: a 5-Year Retrospective of Achievements”,
Published in A. Divakaran (ed.), Multimedia Content Analysis, Signals
and CommunicationTechnology, DOI 10.1007/978-0-387-76569-3 6,
SpringerScience+BusinessMedia, LLC 2009, pp. 151-174.
[17] Smeaton, A. F., Over, P., Doherty, A.R.,”Video shot boundary
detection: Seven years of TRECVid activity”,Computer Vision and
Image Understanding, vol. 114, 2010, pp. 411-418.
@article{"International Journal of Electrical, Electronic and Communication Sciences:65325", author = "Jaroslav Polec and Martin Šimek and Michal Martinovič and Elena Šikudová", title = "A Content-Based Optimization of Data Stream Television Multiplex ", abstract = "The television multiplex has reserved capacity and therefore we can use only limited number of videos for propagation of it. Appropriate composition of the multiplex has a major impact on how many videos is spread by multiplex. Therefore in this paper is designed a simple algorithm to optimize capacity utilization multiplex. Significant impact on the number of programs in the multiplex has also the fact from which programs is composed. Content of multiplex can be movies, news, sport, animated stories, documentaries, etc. These types have their own specific characteristics that affect their resulting data stream. In this paper is also done an impact analysis of the composition of the multiplex to use its capacity by video content.
", keywords = "Multiplex, content, group of pictures, frame, capacity.", volume = "7", number = "10", pages = "1281-6", }
