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(3) We apply the co-opetition strategy to power allocation among multiple video users.
In Section 4, we apply the co-opetition strategy to power allocation amongst multiple video users together with numerical results for performance evaluation.
Moreover, the coopetition strategy is applied to power allocation among multiple video users, and evaluated through comparing with existing- competition based strategy.
In [1], the Kalai-Smorodinsky Bargaining Solution (KSBS) was used to allocate rates amongst multiple video users such that the utility achieved by each user is proportional to the maximum utility achievable.
The copetition strategy is formulated as sum utility maximization under constraints from both APP and PHY and is shown to be effective to allocate power among multiple video users.
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That search works across multiple video providers and allows users to search through movies, TV shows, and short-form videos from YouTube, Netflix, Hulu, Ted, Vimeo, AOL, and Blip.tv.
In order to confront this problem, the sender and receiver may share multiple video objects (poses) for each user.
This paper presents a novel MPEG-4 priority-based multiple video objects coding system integrating User Visual Attention Model (UVAM) and Dynamic Bit Allocation (DBA) rate control mechanism.
As the SVC stream is configured with multiple video layers, we can serve the users more adaptively to the channel conditions by adjusting the transmission of the video layers.
Grouper also allows users to string together multiple video files (VideoEgg does not yet allow this).
Hey!Spread is a video uploading service that delivers user generated videos to multiple video sites.
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multiple video subscriptions
multiple video features
multiple video screens
multiple video projections
multiple video cameras
multiple video services
multiple video scenes
multiple video objects
multiple video outputs
multiple video stores
multiple video clips
multiple video files
multiple video cards
multiple video sources
multiple video servers
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