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Faisal Ishtiaq

Researcher at General Instrument

Publications -  52
Citations -  911

Faisal Ishtiaq is an academic researcher from General Instrument. The author has contributed to research in topics: Encoder & Frame (networking). The author has an hindex of 18, co-authored 50 publications receiving 907 citations. Previous affiliations of Faisal Ishtiaq include Motorola & Northwestern University.

Papers
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Joint source-channel coding for motion-compensated DCT-based SNR scalable video

TL;DR: An approach toward joint source-channel coding for motion-compensated DCT-based scalable video coding and transmission and a framework for the optimal selection of the source and channel coding rates over all scalable layers is presented such that the overall distortion is minimized.
Patent

Coordinating media presentations among peer devices

TL;DR: In this article, a group of "servant" devices (104, 108, 110) each download (306) a media presentation and render (308) the presentation to a local user (102, 106).
Patent

Method and device for suspecting errors and recovering macroblock data in video coding

TL;DR: In this article, an error detection unit is used to calculate an error metric between pixel values on at least part of the boundary between a current macroblock and one or more adjoining macroblocks and to label the current macroblocks as suspicious if the error metric is greater than a threshold level.
Patent

Method and apparatus for robust heart rate sensing

TL;DR: In this paper, a heart rate sensor is used to alter the amplitude of a signal detected by the light source in order to reduce motion artifacts, which can be incorporated into an article, such as an ear cuff (100 ), an audio headset ( 1000 ), or a set of headphones ( 1100 ), that is suitable for use by an active user.
Patent

Apparatus and method for fast intra/inter macro-block mode decision for video encoding

TL;DR: In this paper, a fast video encoder and a method for selecting (809) inter macro-block mode or intra macroblock mode is provided. But the method can include estimating (502) a rate-distortion cost (801) of a plurality of predictors (203) for coding a video (201), selecting (504) a predictive coding mode for the video based on a minimization of the rate distortion cost, and coding (505) the image using a predictive mode associated with the minimum rate-disortion cost.