Complexity Constrained Representation Selection for Dynamic Adaptive Streaming
Graph Chatbot
Chattez avec Graph Search
Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.
AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
We consider the problem of correlated data gathering by a network with a sink node and a tree based communication structure, where the goal is to minimize the total trans- mission cost of transporting the information collected by the nodes, to the sink nod ...
The increasing complexity of signal processing algorithms has lead to the need of developing the algorithms specifications using generic software implementations that become in practice the reference implementation. This fact can be particularly observed i ...
We address the problem of joint path selection and rate allocation in multipath streaming in order to optimize a media specific quality of service. An optimization problem is proposed, which aims at minimizing a video distortion metric based on sequence-de ...
Failure location in transparent optical networks is difficult because of the large amount of alarms that a failure can trigger and because of corrupted alarms. One problem that network operators often face is how to set the thresholds in monitoring devices ...
This paper establishes tight lower bounds on the time complexity of algorithms solving the generic broadcast problem. Generic broadcast assumes a symmetric, non-reflexive conflict relation on the set of messages, and requires ordered delivery only for conf ...
Medical image processing is a demanding domain, both in terms of CPU and memory requirements. The volume of data to be processed is often large (a typical MRI dataset requires 10 MBytes) and many processing tools are only useful to the physician if they ar ...
The authors formalize the description of the buffer-constrained adaptive quantization problem. For a given set of admissible quantizers used to code a discrete nonstationary signal sequence in a buffer-constrained environment, they formulate the optimal so ...
Many hard combinatorial optimization problems can be approached by what has become known as simulated annealig, i.e. probabilistic exchange algorithms that yield good approximations and under certain conditions converge almost surely to the optimum. In thi ...