Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos
We consider rate-distortion optimized strategies for dropping frames from multiple conversational and streaming videos sharing limited network node resources. The dropping strategies are based on side information that is extracted during encoding and is sent along the regular bitstream. The addition...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2008/628970 |
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| _version_ | 1832561252648353792 |
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| author | Wei Tu Jacob Chakareski Eckehard Steinbach |
| author_facet | Wei Tu Jacob Chakareski Eckehard Steinbach |
| author_sort | Wei Tu |
| collection | DOAJ |
| description | We consider rate-distortion optimized strategies for dropping frames from multiple conversational and streaming videos sharing limited network node resources. The dropping strategies are based on side information that is extracted during encoding and is sent along the regular bitstream. The additional transmission overhead and the computational complexity of the proposed frame dropping schemes are analyzed. Our experimental results show that a significant improvement in end-to-end performance is achieved compared to priority-based random early dropping. |
| format | Article |
| id | doaj-art-dc6f43bbd656459b83bf1cb94c3e85b4 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-dc6f43bbd656459b83bf1cb94c3e85b42025-02-03T01:25:38ZengWileyAdvances in Multimedia1687-56801687-56992008-01-01200810.1155/2008/628970628970Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational VideosWei Tu0Jacob Chakareski1Eckehard Steinbach2Media Technology Group, Institute of Communication Networks, Munich University of Technology, Munich 80333, GermanyVidyo Inc., Hackensack, NJ 07601, USAMedia Technology Group, Institute of Communication Networks, Munich University of Technology, Munich 80333, GermanyWe consider rate-distortion optimized strategies for dropping frames from multiple conversational and streaming videos sharing limited network node resources. The dropping strategies are based on side information that is extracted during encoding and is sent along the regular bitstream. The additional transmission overhead and the computational complexity of the proposed frame dropping schemes are analyzed. Our experimental results show that a significant improvement in end-to-end performance is achieved compared to priority-based random early dropping.http://dx.doi.org/10.1155/2008/628970 |
| spellingShingle | Wei Tu Jacob Chakareski Eckehard Steinbach Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos Advances in Multimedia |
| title | Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos |
| title_full | Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos |
| title_fullStr | Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos |
| title_full_unstemmed | Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos |
| title_short | Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos |
| title_sort | rate distortion optimized frame dropping for multiuser streaming and conversational videos |
| url | http://dx.doi.org/10.1155/2008/628970 |
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