A smart packet type identification scheme for selective discard of video packets
In recent years, due to the growth of social networks and development of video sharing platforms, transmission of video content has increased dramatically. This huge amount of data imposes a heavy load on the limited bandwidth of the networks. As a result, data loss will be inevitable. Nevertheless,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277267112300044X |
| _version_ | 1797802020077305856 |
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| author | Ashkan Moharrami Mohammad Ghasempour Mohammad Ghanbari |
| author_facet | Ashkan Moharrami Mohammad Ghasempour Mohammad Ghanbari |
| author_sort | Ashkan Moharrami |
| collection | DOAJ |
| description | In recent years, due to the growth of social networks and development of video sharing platforms, transmission of video content has increased dramatically. This huge amount of data imposes a heavy load on the limited bandwidth of the networks. As a result, data loss will be inevitable. Nevertheless, since some types of video frames, such as B-frames are more resilient to packet loss, discarding them can ease network congestion while maintaining QoE. However, frame-type information is only available in the packet payload. Limited processing power of devices in high-speed networks, data encryption and user credibility issues, make finding the frame types a costly operation. Therefore, an intelligent router with fast and reliable decision-making is proposed to model live video streams structures and recognize the importance of video packets at the network level. This information enables the network routers to discard insignificant video packets ahead of congestion. The proposed method does not need to read the IP layer payload and uses only the packet header data for decision making. Experimental results show an intelligent router, at the worst scenario can classify packet type with better than 95.1% accuracy, as if packet types are marked at the source without any bias. Tests on various HD video, with 1–10% packet drop rates, shows while the proposed packet discarding scheme is 0.8–2.7 dB inferior to ground truth method, it is still 6–10 dB better than dropping packets at random. |
| first_indexed | 2024-03-13T05:00:24Z |
| format | Article |
| id | doaj.art-1f1c7897bc19474e811aaa8e97f2487b |
| institution | Directory Open Access Journal |
| issn | 2772-6711 |
| language | English |
| last_indexed | 2024-03-13T05:00:24Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| spelling | doaj.art-1f1c7897bc19474e811aaa8e97f2487b2023-06-17T05:21:48ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112023-06-014100149A smart packet type identification scheme for selective discard of video packetsAshkan Moharrami0Mohammad Ghasempour1Mohammad Ghanbari2School of ECE, College of Engineering, University of Tehran, Tehran, IranSchool of ECE, College of Engineering, University of Tehran, Tehran, Iran; Corresponding author.School of ECE, College of Engineering, University of Tehran, Tehran, Iran; School of CSEE, University of Essex, UKIn recent years, due to the growth of social networks and development of video sharing platforms, transmission of video content has increased dramatically. This huge amount of data imposes a heavy load on the limited bandwidth of the networks. As a result, data loss will be inevitable. Nevertheless, since some types of video frames, such as B-frames are more resilient to packet loss, discarding them can ease network congestion while maintaining QoE. However, frame-type information is only available in the packet payload. Limited processing power of devices in high-speed networks, data encryption and user credibility issues, make finding the frame types a costly operation. Therefore, an intelligent router with fast and reliable decision-making is proposed to model live video streams structures and recognize the importance of video packets at the network level. This information enables the network routers to discard insignificant video packets ahead of congestion. The proposed method does not need to read the IP layer payload and uses only the packet header data for decision making. Experimental results show an intelligent router, at the worst scenario can classify packet type with better than 95.1% accuracy, as if packet types are marked at the source without any bias. Tests on various HD video, with 1–10% packet drop rates, shows while the proposed packet discarding scheme is 0.8–2.7 dB inferior to ground truth method, it is still 6–10 dB better than dropping packets at random.http://www.sciencedirect.com/science/article/pii/S277267112300044XCompressed domain processingFrame type identificationClusteringVideo StreamingH.265/HEVC |
| spellingShingle | Ashkan Moharrami Mohammad Ghasempour Mohammad Ghanbari A smart packet type identification scheme for selective discard of video packets e-Prime: Advances in Electrical Engineering, Electronics and Energy Compressed domain processing Frame type identification Clustering Video Streaming H.265/HEVC |
| title | A smart packet type identification scheme for selective discard of video packets |
| title_full | A smart packet type identification scheme for selective discard of video packets |
| title_fullStr | A smart packet type identification scheme for selective discard of video packets |
| title_full_unstemmed | A smart packet type identification scheme for selective discard of video packets |
| title_short | A smart packet type identification scheme for selective discard of video packets |
| title_sort | smart packet type identification scheme for selective discard of video packets |
| topic | Compressed domain processing Frame type identification Clustering Video Streaming H.265/HEVC |
| url | http://www.sciencedirect.com/science/article/pii/S277267112300044X |
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