Affiliation:
1. Nokia Siemens Networks SA, Portugal & Universidade Tecnica de Lisboa, Portugal
Abstract
One of the main concerns for current multimedia platforms is the provisioning of content that provides a good Quality of Experience to end-users. This can be achieved through new interactive, personalized content applications, as well by improving the image quality delivered to the end-user. This chapter addresses these issues by describing mechanisms for changing content consumption. The aim is to give Application Service Providers (ASPs) new ways to allow users to configure contents according to their personal tastes while also improving their Quality of Experience, and to possibly charge users for such functionalities. The authors propose to employ computer vision techniques to produce extra object information, which further expands the range of video personalization possibilities on the presence of new video coding mechanisms1.
Reference21 articles.
1. Akhshabi, C., & Begen, A. (2011). An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP. In Proceedings of the Second Annual ACM Conference on Multimedia Systems, (pp. 157-168). ACM.
2. Arsenio, A. (2004). Object recognition from multiple percepts. In Proceedings of the IEEE RAS/RSJ International Conference on Humanoid Robots. IEEE.
3. Arsenio, A. (2009). Method and device for processing a data stream and system comprising such device. Applicants: Nokia Siemens Networks GMBH & CO. KG. International Patent Number: EP2098988-A1.
4. Baker, S., & Kanade, T. (2000). Hallucinating faces. In Proceedings of the Fourth ICAFGR. ICAFGR.
5. Berc, R., & Fenner, W. (1998). RTP payload format for JPEG-compressed video.