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Kenneth Reneris

Researcher at Microsoft

Publications -  30
Citations -  782

Kenneth Reneris is an academic researcher from Microsoft. The author has contributed to research in topics: State (computer science) & Video capture. The author has an hindex of 16, co-authored 30 publications receiving 782 citations.

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Patent

Method and system for controlling power consumption in a computer system

TL;DR: In this article, a portable, software-controlled system for managing power consumption in a computer system is presented, which is integrated with the operating system of the computer and is extensible to any add-on devices that are installed into the computer system.
Patent

System and method for using a hierarchical data structure to control and identify devices and represent connections between the devices

TL;DR: A hierarchical data structure is a byte stream of data that is translated and stored as hierarchical information, such as device objects, data objects, and control method objects as mentioned in this paper, which is used by the operating system as a communication tool and reference to identify devices.
Patent

Adaptive scheduling to maintain smooth frame rate

TL;DR: In this article, an adaptive scheduler associated with a desktop window manager dynamically controls the rate at which graphics frames are composed values corresponding to performance when composing a frame are measured, and the frame composition rate is adjusted as necessary based on the values The measured data is sampled to provide smooth adjustments.
Patent

System and method for synchronizing disparate processing modes and for controlling access to shared resources

TL;DR: In this paper, a system and method for synchronizing disparate processing modes and for providing mutually exclusive access to shared system resources is presented, where a processing unit operates in disparate first and second processing modes.
Patent

Content search service, finding content, and prefetching for thin client

TL;DR: In this article, the claimed subject matter provides a system and/or method that effectuates and facilitates search of multimedia content, which can include components that extract closed captioned information from video content, index the extracted information against frames of corresponding video content and utilize associated metadata, tags, and indexes to search through extracted information and respond to a submitted query with identified video content.