Social-Aware Stream codec

  • Gaste Y.
  • Verdot V.

The marriage of Social and Multimedia is consummated and now a concrete reality. The association of tweets and TV broadcasts is now very common, as are the sharing of video clips, or video-based viral communication. However, if "live" (read "simultaneous") consumption of media and social streams is quite straightforward as globally "time-aligned", its replayability is more challenging to achieve. Indeed, a social stream, i.e. a time-dependent sequence of connected social objects, has specific properties that must be considered prior to any association with video, audio or text streams. We propose a data model and a codec mechanism that ensure the synchronization, the scalability and the integrity of media-related social interactions within a Social-Aware Multimedia Container. We experimented our solution with concrete use cases (Superbowl 47, French presidential election debate) and demonstrated that our approach is efficient, scalable and compatible with existing Web client and servers.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...