The Experts below are selected from a list of 255 Experts worldwide ranked by ideXlab platform
Takashi Watanabe - One of the best experts on this subject based on the ideXlab platform.
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Traffic Reduction for Multiple Users in Multi-view Video Streaming
2012 IEEE International Conference on Multimedia and Expo, 2012Co-Authors: Takuya Fujihashi, Takashi WatanabeAbstract:Multi-view video consists of multiple video sequences captured simultaneously from different angles by multiple closely spaced cameras. It enables the users to freely change their viewpoints by playing different video sequences. Transmission of multi-view video requires more bandwidth than conventional multimedia. To reduce the bandwidth, UDMVT (User Dependent Multi-view Video Transmission) based on MVC (Multi-view Video Coding) has been proposed for single user. In UDMVT, for multiple users the same frames are encoded into different versions for each user, which increases the redundant transmission. For this problem, this paper proposes UMSM (User dependent Multi-view video Streaming for Multi-users). UMSM possesses two characteristics. The first characteristic is that the overlapped frames that are required by multiple users are transmitted only once using the multicast to avoid Unnecessary Duplication of transmission. The second characteristic is that a time lag of the video request by multiple users is adjusted to coincide with the next request. Simulation results using benchmark test sequences provided by MERL show that UMSM decreases the transmission bit-rate 55.3% on average for 5 users watching the same multi-view video as compared with UDMVT.
Takuya Fujihashi - One of the best experts on this subject based on the ideXlab platform.
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Traffic Reduction for Multiple Users in Multi-view Video Streaming
2012 IEEE International Conference on Multimedia and Expo, 2012Co-Authors: Takuya Fujihashi, Takashi WatanabeAbstract:Multi-view video consists of multiple video sequences captured simultaneously from different angles by multiple closely spaced cameras. It enables the users to freely change their viewpoints by playing different video sequences. Transmission of multi-view video requires more bandwidth than conventional multimedia. To reduce the bandwidth, UDMVT (User Dependent Multi-view Video Transmission) based on MVC (Multi-view Video Coding) has been proposed for single user. In UDMVT, for multiple users the same frames are encoded into different versions for each user, which increases the redundant transmission. For this problem, this paper proposes UMSM (User dependent Multi-view video Streaming for Multi-users). UMSM possesses two characteristics. The first characteristic is that the overlapped frames that are required by multiple users are transmitted only once using the multicast to avoid Unnecessary Duplication of transmission. The second characteristic is that a time lag of the video request by multiple users is adjusted to coincide with the next request. Simulation results using benchmark test sequences provided by MERL show that UMSM decreases the transmission bit-rate 55.3% on average for 5 users watching the same multi-view video as compared with UDMVT.
Fernan Pedraza - One of the best experts on this subject based on the ideXlab platform.
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A Bio-Inspired Scheme for Coordinated Online Search $ $
IEEE Transactions on Automatic Control, 2010Co-Authors: Alfredo Garcia, Chenyang Li, Fernan PedrazaAbstract:We present a novel scheme for coordinated search by autonomous agents that is inspired by collective forms of intelligence present in group predators. In the scheme proposed, a group of agents is tasked to find several targets over a search area. The sensing technology is imperfect so there are non-negligible probabilities for false positives and false negatives. Agents maintain two data `trails' across potential target locations that have been explored. One trail is associated with the frequency with which a given location has been probed while the other relates to the current likelihood that a target is present. Each agent independently chooses a decision that is aimed at maximizing the chance of detecting a target without Unnecessary Duplication in probing. By endowing agents with this simple optimization rule, we show that a form of collective intelligence emerges as agents successfully coordinate indirectly (i.e., they locate all targets) through active manipulation of the trails in a relatively fast fashion. This feature guarantees the proposed scheme is both reconfigurable and scalable.
Adarsh Sandhu - One of the best experts on this subject based on the ideXlab platform.
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South Korea plays to its strengths
Nature Nanotechnology, 2007Co-Authors: Adarsh SandhuAbstract:Focusing on the commercialization of research results and avoiding Unnecessary Duplication of effort are central to South Korea's approach to nanotechnology, as Adarsh Sandhu reports.
Alfredo Garcia - One of the best experts on this subject based on the ideXlab platform.
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A Bio-Inspired Scheme for Coordinated Online Search $ $
IEEE Transactions on Automatic Control, 2010Co-Authors: Alfredo Garcia, Chenyang Li, Fernan PedrazaAbstract:We present a novel scheme for coordinated search by autonomous agents that is inspired by collective forms of intelligence present in group predators. In the scheme proposed, a group of agents is tasked to find several targets over a search area. The sensing technology is imperfect so there are non-negligible probabilities for false positives and false negatives. Agents maintain two data `trails' across potential target locations that have been explored. One trail is associated with the frequency with which a given location has been probed while the other relates to the current likelihood that a target is present. Each agent independently chooses a decision that is aimed at maximizing the chance of detecting a target without Unnecessary Duplication in probing. By endowing agents with this simple optimization rule, we show that a form of collective intelligence emerges as agents successfully coordinate indirectly (i.e., they locate all targets) through active manipulation of the trails in a relatively fast fashion. This feature guarantees the proposed scheme is both reconfigurable and scalable.
