Intel Corporation

Mark R Walker

Michael J Keith

Jeffrey N Kidder

Arvind A Kumar

David M Putzolu

Walter J Mack

Nelson F Kidd

Jim W Edwards

William J Lewis

Brian E Woodruff

J C Korta

A method and system for cascading power consumption is described herein. The method may include providing power to a first sensor and a second sensor, wherein the first sensor consumes more power than the second sensor. The method may also include detecting the first sensor does not capture a sample of data. In addition, the method may include stopping the flow of power to the first sensor. Furthermore, the method may include monitoring an operating environment with the second sensor. The method may also include providing power to the first sensor in response to the second sensor detecting a sample of data.

Cascading power consumption

Systems, methods, and media for a client device discovering remote user interface applications over a network are disclosed. Embodiments may include a remote user interface client of the client device receiving from a content directory service server a code fragment comprising a uniform resource indicator and determining whether the uniform resource indicator is associated with a remote-capable application. Further embodiments may include, in response to determining that the uniform resource indicator is associated with a remote-capable application, engaging by the client device a remote user interface server and receiving by the client device from the remote user interface server one or more display control commands associated with the remote-capable application and displaying a user interface based on the received display control commands. In some embodiments, engaging the remote user interface server comprises switching from the content directory service server. Other embodiments are disclosed and claimed.

Systems, methods, and media for discovering remote user interface applications over a network

Text that is to be synthesized into human speech is first converted into an intermediate form representation that describe the acoustic-prosodic resolution of the spoken version of the text. The intermediate form can be generated manually, or by an intermediate form generation program at a server computer, and later downloaded to client computers at their request. The client computers synthesize the intermediate form representation to audio for their users using a relatively simple speech rendering program.

Distributed synthetic speech generation

A transform is applied to a region of a current video frame to generate transform signals corresponding to the region. An activity measure is generated using the transform signals. The activity measure is then used to determine whether to encode the region as a skipped region. The region is encoded in accordance with that determination to generate an encoded bit stream for the region. In a preferred embodiment, the transform signals are DCT coefficients and the activity measure is a weighted sum of the DCT coefficients, where the weighting of the low-frequency DCT coefficients is greater than the weighting of the high-frequency DCT coefficients. The region is encoded as a skipped region if the activity measure is less than a threshold value; otherwise, the region is encoded as either an inter encoded region or an intra encoded region.

Using numbers of non-zero quantized transform signals and signal differences to determine when to encode video signals using inter-frame or intra-frame encoding

An audio stream is analyzed to distinguish silent periods from non-silent periods and an encoded bitstream is generated for the audio stream, wherein the silent periods are represented by one or more sets of canned encoded data corresponding to representative silent periods. In a preferred embodiment, one of the sets of canned encoded data is randomly selected for each silent period. There may be different sets of silent periods corresponding to different types of silent periods, where a particular type of silent period is selected based on some characteristic of the audio stream (e.g., energy level of the silent periods). In addition, the sets of encoded data may be generated from actual silent periods of the audio stream.

Encoding audio signals using precomputed silence

One or more dynamically updated measures are generated for an audio stream. Processing is performed using the measures to distinguish silent periods from non-silent periods in the audio stream and the audio stream is encoded, wherein the silent periods are encoded differently from the non-silent periods. The processing is re-initialized during the encoding of the audio stream, if certain conditions are met. In a preferred embodiment, the processing is re-initialized if either of the following two conditions is met: (1) one of the non-silent periods is longer than a duration threshold or (2) an energy measure for the silent periods of the audio stream exceeds an energy threshold level.

Re-initializing adaptive parameters for encoding audio signals

A signal is encoding, in part, by generating the transform of the signal in a transform domain. The coefficients of the transformed signal are then ordered according to a statistical model of the transform. Decoding of the encoded signal generates progressively accurate approximations of the fully reconstructed signal. If, for some reason, decoding is truncated, a useable partial result will nevertheless be available. In a preferred embodiment, natural image signals are encoded by ordering the coefficients of the transformed signal generated by applying a discrete cosine transform. Decoding of the encoded signals generates progressively accurate approximations of the fully reconstructed image. The invention has particular application to systems with limited and/or variable transmission, storage, and/or decode processing bandwidth.

Growing community of inventors

Beaverton, OR, United States of America

Mark R Walker