Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand
Traditionally, people usually watch a video from the beginning and continuously to the end; this is changed by the concept and application of Video-On-Demand (VOD). Users do not want to wait for a long time when they seek some specific content in a video; they want to instantly watch any part in a v...
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2011/237561 |
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| _version_ | 1850160285939138560 |
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| author | Jun Li Fengbin Li Xiaofeng Jiang |
| author_facet | Jun Li Fengbin Li Xiaofeng Jiang |
| author_sort | Jun Li |
| collection | DOAJ |
| description | Traditionally, people usually watch a video from the beginning and continuously to the end; this is changed by the concept and application of Video-On-Demand (VOD). Users do not want to wait for a long time when they seek some specific content in a video; they want to instantly watch any part in a video according to their needs. To resolve this challenge, in this paper, we propose a Flexible-Segmentation-Jumping Strategy (FSJS). This scheme considers users' randomly access behaviors, especially concerns the initial delay before watch point selection. By considering these behaviors and flexibly
selecting jumping point, our scheme can significantly reduce user waiting time, in most cases can reduce the waiting time to
zero. Our simulation implements the proposed FSJS scheme to the uniform segmentation and exponential segmentation algorithms
to show how FSJS improves a user's perceived latency and reduces the extra average serving time. The simulation
results show that FSJS can have a significant improvement in user-perceived latency. |
| format | Article |
| id | doaj-art-b69e0b319bd9491ea54012bc522817c2 |
| institution | OA Journals |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-b69e0b319bd9491ea54012bc522817c22025-08-20T02:23:11ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322011-01-01201110.1155/2011/237561237561Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on DemandJun Li0Fengbin Li1Xiaofeng Jiang2CAS, Key Laboratory of Network Communication System and Control, University of Science and Technology of China (USTC), Hefei, Anhui 230027, ChinaCAS, Key Laboratory of Network Communication System and Control, University of Science and Technology of China (USTC), Hefei, Anhui 230027, ChinaCAS, Key Laboratory of Network Communication System and Control, University of Science and Technology of China (USTC), Hefei, Anhui 230027, ChinaTraditionally, people usually watch a video from the beginning and continuously to the end; this is changed by the concept and application of Video-On-Demand (VOD). Users do not want to wait for a long time when they seek some specific content in a video; they want to instantly watch any part in a video according to their needs. To resolve this challenge, in this paper, we propose a Flexible-Segmentation-Jumping Strategy (FSJS). This scheme considers users' randomly access behaviors, especially concerns the initial delay before watch point selection. By considering these behaviors and flexibly selecting jumping point, our scheme can significantly reduce user waiting time, in most cases can reduce the waiting time to zero. Our simulation implements the proposed FSJS scheme to the uniform segmentation and exponential segmentation algorithms to show how FSJS improves a user's perceived latency and reduces the extra average serving time. The simulation results show that FSJS can have a significant improvement in user-perceived latency.http://dx.doi.org/10.1155/2011/237561 |
| spellingShingle | Jun Li Fengbin Li Xiaofeng Jiang Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand Applied Computational Intelligence and Soft Computing |
| title | Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand |
| title_full | Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand |
| title_fullStr | Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand |
| title_full_unstemmed | Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand |
| title_short | Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand |
| title_sort | flexible segmentation jumping strategy to reduce user perceived latency for video on demand |
| url | http://dx.doi.org/10.1155/2011/237561 |
| work_keys_str_mv | AT junli flexiblesegmentationjumpingstrategytoreduceuserperceivedlatencyforvideoondemand AT fengbinli flexiblesegmentationjumpingstrategytoreduceuserperceivedlatencyforvideoondemand AT xiaofengjiang flexiblesegmentationjumpingstrategytoreduceuserperceivedlatencyforvideoondemand |