Extremely Distributed Media Processing
نویسندگان
چکیده
The Object-Based Media Group at the MIT Media Laboratory is developing robust, self-organizing programming models for dense ensembles of ultra-miniaturized computing nodes which are deployed by the thousands in bulk fashion, e.g. embedded into building materials. While such systems potentially offer almost unlimited computation for multimedia purposes, the individual devices contain tiny amounts of memory, lack explicit addresses, have wireless communication ranges only in the range of millimeters to centimeters, and are expected to fail at high rates. An unorthodox approach to handling of multimedia data is required in order to achieve useful, reliable work in such an environment. We describe the hardware and software strategies, and demonstrate several examples showing the processing of images and sound in such a system.
منابع مشابه
Signal Processing in Distributed Systems with Limited Resources
Distributed wireless systems offer several advantages over their traditional wired and centralized counterparts, e.g., flexibility, easy installation, reconfiguration, and scalability. Although the resources in these distributed systems are often limited in order to achieve costeffective operation, the concept of distributed system design is in the focus of intensive research even in those appl...
متن کاملNext-Generation Content Representation, Creation and Searching for New Media Applications in Education
Content creation, editing, and searching are extremely time consuming tasks that often require substantial training and experience, especially when high-quality audio and video are involved. “New media” represents a new paradigm for multimedia information representation and processing, in which the emphasis is placed on the actual content. It thus brings the tasks of content creation and search...
متن کاملAutomatic Resource-aware Construction of Media Indexing Applications for Distributed Processing Environments
Constructing pattern classification based media indexing applications for distributed processing environments (DPEs) often requires knowledge in feature extraction as well as distributed processing. In order to achieve an appropriate tradeoff between indexing error rate and processing time, feature extractors (FEs) must be carefully selected based on their application specific indexing and DPE ...
متن کاملXPS: EXPL: Scalable distributed GPU computing for extremely high-dimensional optimization
High-dimensional optimization is a challenging research problem and a computationally intensive task which requires innovative approaches from parallel and distributed computing perspectives. Extremely high-dimensional optimization involves very large problem dimensionalities with millions of variables. However, proposals to date limited the problem dimensionality to a few million variables due...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002