Headway Technologies, Incorporated

Google Inc.

Chao Chen

Chunping Luo

Stuart Kao

Min Li

Kochan Ju

Jeiwei Chang

Jei-Wei Chang

Yilin Wang

Anil Christopher Kokaram

Balineedu Adsumilli

Steve Benting

Yao-Chung Lin

Shawn Singh

Systems and methods for transcoding media content are disclosed. In some embodiments, the method includes obtaining a transcoded media content that is transcoded from an uploaded media content. The method includes determining a plurality of degradation metric values corresponding to the transcoded media content based on the uploaded media content and the transcoded media content, each degradation metric value corresponding to a different degradation metric type. The method includes mapping each degradation metric value to a respective calibrated score to obtain a plurality of calibrated scores. The method includes determining an aggregated quality score of the transcoded media content based on the plurality of calibrated scores and an exponential weighting function. The exponential weighting function exponentiates each of the calibrated scores by a respective weighting exponent and aggregates the exponentiated calibrated scores. The method includes selectively reencoding the transcoded media content based on the aggregated quality score.

Transcoding media content using an aggregated quality score

Implementations disclose bitrate optimization for multi-representation encoding using playback statistics. A method includes generating multiple versions of a segment of a source video, the versions comprising encodings of the segment at different encoding bitrates for each resolution of the segment, measuring a quality metric for each version of the segment, generating rate-quality models for each resolution of the segment based on the measured quality metrics corresponding to the resolutions, generating a probability model to predict requesting probabilities that representations of the segment are requested, the probability model based on a joint probability distribution of network speed and viewport size that is generated from client-side feedback statistics associated with prior playbacks of other videos, determining an encoding bitrate for each of the representations of the segment based on the rate-quality models and the probability model, and assigning determined encoding bitrates to corresponding representations of the segment.

Bitrate optimization for multi-representation encoding using playback statistics

The series resistance of a CPP GMR stack can be reduced by shaping it into a small upper, on a somewhat larger, lower part. Because of the sub-micron dimensions involved, good alignment between these is normally difficult to achieve. The present invention discloses a self-alignment process based on first laying down a mask that will determine the shape of the top part. Ion beam etching is then initiated, the ion beam being initially applied from one side only at an angle to the surface normal. During etching, all material on the near side of the mask gets etched but, on the far side, only material that is outside the mask's shadow gets removed so, depending on the beam's angle, the size of the lower part is controlled and the upper part is precisely centrally aligned above it.

CPP head with parasitic shunting reduction

As feature sizes approach 0.1 &#x3bc;m or smaller, reduction of line edge roughness (LER) becomes increasingly important. Significant reductions in edge roughness have been achieved by applying a second Ebeam exposure after the initial one that is used to define the pattern. After this second blanket exposure a longer heat treatment and a stronger development process than before are used. In addition to reducing edge roughness the disclosed treatment allows the CD to be reduced under tight control since the amount of CD reduction is proportional to the second Ebeam dosage.

Method to form reduced dimension pattern with good edge roughness

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Fremont, CA, United States of America

Chao Chen