Intel Corporation

Sri Ranjan Srikantam

Prasanna Kumar Mandapadi Ramasubramanian

Changliang Wang

Linda S Cline

Jill MacDonald Boyce

Rajesh Poornachandran

Ximin Zhang

Yunbiao Lin

Eric Perraud

Fan He

Khanh V Nguyen

Kseniya Tikhomirova

Sergey Solodkov

Jordi Artacho Terreu

An example apparatus for adaptively encoding video frames includes a network analyzer to predict an instant bitrate based on channel throughput feedback received from a network. The apparatus also includes a content analyzer to generate ladder info based on a received frame. The apparatus further includes an adaptive decision executer to determine a frame rate, a video resolution, and a target frame size based on the predicted instant bitrate and the ladder outputs. The apparatus further includes an encoder to encode the frame based on the frame rate, the video resolution, and the target frame size.

Adaptively encoding video frames using content and network analysis

Techniques related to video coding include efficient frame loss recovery using a feedback channel acknowledgement to decode base layer frames.

Method and system of video coding with efficient frame loss recovery

A method for sending video over a cellular link includes obtaining from a modem layer an uplink buffer status metric. An indication derived from the metric is transmitted from the modem layer to a video source application. The indication is used to adjust a video bitrate.

Using uplink buffer status to improve video stream adaptation control

Embodiments include apparatuses, methods, and systems including a content scenario detection unit and a rate adjustment unit for the communication of a multimedia content. The multimedia content may include a low bitrate scenario and a high bitrate scenario. The content scenario detection unit may detect the low bitrate scenario of the multimedia content for a multimedia traffic when a transmitter is to generate a first window of one or more frames of the low bitrate scenario during a first time period at a first encoding rate. The rate adjustment unit may determine, based at least in part on the detection of the low bitrate scenario, a second encoding rate different from the first encoding rate. The transmitter may generate at the second encoding rate a second window of one or more frames of the low bitrate scenario during a second time period. Other embodiments may also be described and claimed.

Content scenario and network condition based multimedia communication

A method for efficient frame loss recovery and reconstruction (EFLRR) in a dyadic hierarchy is described herein. The method includes obtaining a current frame of a group of pictures. The method also includes calculating a Dyadic Hierarchy Picture Index difference based on a layer information in response to a prior frame missing in the group of pictures. Finally, the method includes decoding the current frame in response to a determined frame continuity based on the Dyadic Hierarchy Picture Index difference.

Efficient frame loss recovery and reconstruction in dyadic hierarchy based coding

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Hillsboro, OR, United States of America

Sri Ranjan Srikantam