Intel Corporation

Wenyi Tang

Yunbiao Lin

Bo Qiu

Jianwei Yang

Yating Wang

Yongfa Zhou

Yu Yang

Changliang Wang

Bo Zhao

Ping Liu

Ce Wang

Zhan Lou

Xu Zhang

Ulun Karacaoglu

Kristoffer Fleming

Jie Gao

Jianfang Olena Zhu

Yaniv Frishman

Yu Chan Yang

Manish A Hiranandani

Ashish Singhi

Fan Chen

Brian E Woodruff

Peter Sankhagowit

Priya Balasubramanian

Sharon Talmor Marcovici

Areeba Turabi

An embodiment of an adaptive video encoder may determine headset-related information including at least one of focus-related information and motion-related information and determine one or more video encode parameters based on the headset-related information. The adaptive video encoder may also encode a macroblock of a video image based on the one or more determined video encode parameters. Other embodiments are disclosed and claimed.

Adaptive foveated encoder and global motion predictor

Embodiments described herein are generally directed to an end-to-end trainable degradation restoration network (DRN) that enhances the ability of a super-resolution (SR) subnetwork to deal with noisy low-resolution images. An embodiment of a method includes estimating, by a noise estimator (NE) subnetwork of the DRN, an estimated noise map for a noisy input image; and predicting, by the SR subnetwork of the DRN, a clean upscaled image based on the input image and the noise map by, for each of multiple conditional residual dense blocks (CRDBs) stacked within one or more cascade blocks representing the SR subnetwork, adjusting, by a noise control layer of the CRDB that follows a stacked set of a multiple residual dense blocks of the CRDB, feature values of an intermediate feature map associated with the input image by applying (i) a scaling factor and (ii) an offset factor derived from the noise map.

Adaptive deep learning model for noisy image super-resolution

An embodiment of an adaptive video encoder may include technology to determine headset-related information including at least one of focus-related information and motion-related information, and determine one or more video encode parameters based on the headset-related information. Other embodiments are disclosed and claimed.

An apparatus of embodiments, as described herein, includes one or more processors to track data associated with movement of a computing device accessible to a user, and evaluate the data and compare a latency with latency thresholds, where the data indicates the latency and the latency thresholds associated with a frame. The one or more processors are further to maintain a current video encoding rate, if the latency is lower than a first latency threshold and greater than a second latency threshold. The current video encoding rate is decreased if the latency is equal to or greater than the first latency threshold, where the current video encoding rate is increased if the latency is lower than the second latency threshold. The one or more processors are further to present the frame at the computing device including one or more of a wearable device and a mobile device.

Dynamic video encoding and view adaptation in wireless computing environments

Techniques are provided for spatial audio streaming using adaptive bitrate encoding and decoding in bandwidth limited virtual reality applications. A methodology implementing the techniques according to an embodiment includes calculating weight factors for audio channels associated with each of a plurality of microphones. The weight factors are based on the position and head angle, relative to the microphones, of a user wearing a head mounted display (HMD). The method also includes encoding and decoding the audio channels, for transmission to the HMD, at a selected bitrate, the bitrate based on the weight factor for the audio channel. The method further includes applying an adaptive gain compensation to each of the received and decoded audio channels, the gain compensation also based on the weight factor. The method further includes mixing the resulting gain compensated channels to generate a stereo audio signal to be played through speakers of the HMD.

Adaptive bitrate coding for spatial audio streaming

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Beijing, China

Wenyi Tang