Please use this identifier to cite or link to this item:
|Title:||Experiential sampling in multimedia systems|
|Authors:||Kankanhalli, M.S. |
|Citation:||Kankanhalli, M.S., Wang, J., Jain, R. (2006). Experiential sampling in multimedia systems. IEEE Transactions on Multimedia 8 (5) : 937-946. ScholarBank@NUS Repository. https://doi.org/10.1109/TMM.2006.879876|
|Abstract:||Multimedia systems must deal with multiple data streams. Each data stream usually contains significant volume of redundant noisy data. In many real-time applications, it is essential to focus the computing resources on a relevant subset of data streams at any given time instant and use it to build the model of the environment. We formulate this problem as an experiential sampling problem and propose an approach to utilize computing resources efficiently on the most informative subset of data streams. First, in this paper, we focus on theoretical background and develop a theoretical framework for a single data stream. We generalize the notion of static visual attention in a dynamical systems setting and propose a dynamical attention-orientated analysis method. This is achieved by a sampling representation that utilizes the current context and past experience for attention evolution. Hence, the multimedia analysis task at hand can select its data of interest while immediately discarding the irrelevant data to achieve efficiency and adaptability. © 2006 IEEE.|
|Source Title:||IEEE Transactions on Multimedia|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 22, 2018
WEB OF SCIENCETM
checked on May 15, 2018
checked on Apr 21, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.