Name
Abstract | ||
|---|---|---|
The explosive growth of Over-the-top (OTT) online video strains capacity of operators' networks, which severely threatens video quality perceived by end users. Since video is very bandwidth consuming, its distribution costs are becoming too high to scale with network investments that are required to support the increasing bandwidth demand. Content providers and operators are searching for solutions to reduce this video traffic load, without degrading their customers' perceived Quality of Experience (QoE). This paper proposes a method that can programmatically optimize video content for desired QoE according to perceptual video quality and device display properties, while achieving bandwidth and storage savings for content providers, operators, and end users. The preliminary results obtained with Samsung Galaxy S3 phone show that up to 60% savings can be achieved by optimizing movies without compromising the perceptible video quality, and up to 70% for perceptible, but not annoying video quality difference. Tailoring video optimization to individual user perception can provide seamless QoE delivery across all users, with a low overhead (i.e., 10%) required to achieve this goal. Finally, two applications of video optimization: QoE-aware delivery and storage, are proposed and examined. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/WoWMoM.2015.7158122 | 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM) |
Keywords | Field | DocType |
QoE aware optimization,video delivery,video storage,Over-the-top,OTT online video strains capacity,operator network,video quality,network investments,bandwidth demand,content providers,content operators,Quality of Experience,QoE,video content,device display properties,storage savings,bandwidth savings,Samsung Galaxy S3 phone | Video processing,Video optimization,End user,Computer science,Communications system,Computer network,PEVQ,Video tracking,Quality of experience,Video quality,Multimedia | Conference |
Citations | PageRank | References |
7 | 0.53 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alisa Devlic | 1 | 95 | 9.46 |
| Pavan Kamaraju | 2 | 17 | 2.34 |
| Pietro Lungaro | 3 | 38 | 8.26 |
| Zary Segall | 4 | 640 | 160.36 |
| Konrad Tollmar | 5 | 680 | 84.17 |