Vid Scale, Inc.

Dolby Laboratories Licensing Corporation

Guangdong Oppo Mobile Telecommunications Corp., Ltd.

Zhifeng Chen

Yuriy Reznik

Ariela Zeira

Liangping Ma

Stephen E Terry

Samian Kaur

Eduardo Asbun

Weimin Liu

Rahul Vanam

Avi Rapaport

Yan Ye

Gregory S Sternberg

Alexandros Michael Tourapis

Eldad M Zeira

Anantharaman Balasubramanian

Kamel M Shaheen

James M Miller

Ravikumar V Pragada

Yong He

Hang Liu

Peshala Vishvajith Pahalawatta

Ralph Neff

Louis Joseph Kerofsky

Edward L Hepler

Zhuorong Deng

Naresh H Soni

Eun Ryu

Chris Wallace

Samian J Kaur

Described herein are methods and systems associated with viewing condition adaption of multimedia content. A method for receiving multimedia content with a device from a network may include determining a viewing parameter, transmitting a request for the multimedia content to the network, whereby the request may be based on the viewing parameter, and receiving the multimedia content from the network, whereby the multimedia content may be processed at a rate according to the viewing parameter. The viewing parameter may include at least one of: a user viewing parameter, a device viewing parameter, or a content viewing parameter. The method may further include receiving a multimedia presentation description (MPD) file from the network. The MPD file may include information relating to the rate of the multimedia content and information relating to the rate may include a descriptor relating to the viewing parameter, whereby the descriptor may be required or optional.

Methods and systems for video delivery supporting adaptation to viewing conditions

A device may control a video communication via transcoding and/or traffic shaping. The device may include a multipoint control unit (MCU) and/or a server. The device may receive one or more video streams from one or more devices. The device may analyze a received video stream to determine a viewing parameter. The viewing parameter may include a user viewing parameter, a device viewing parameter, and/or a content viewing parameter. The device may modify a video stream based on the viewing parameter. Modifying the video stream may include re-encoding the video stream, adjusting an orientation, removing a video detail, and/or adjusting a bit rate. The device may send the modified video stream to another device. The device may determine a hit rate for the video stream based on the viewing parameter. The device may indicate the bit rate by sending a feedback message and/or by signaling a bandwidth limit.

User-adaptive video telephony

Quality-based optimizations of a delivery process of streaming content may be enabled. The optimization may take the form of quality-based switching. To enable quality-based switching in a streaming client, the client may have access to information about the quality of an encoded segment and/or sub-segment. Quality-related information may include any number of added quality metrics relating to an encoded segment and/or sub-segment of an encoded video stream. The addition of quality-related information may be accomplished by including the quality-related information in a manifest file, including the quality-related information in segment indices stored in a segment index file, and/or providing additional files with quality-related segment information and providing a link to the information from an MPD file. Upon receiving the quality-related information, the client may request and receive a stream that has a lower bitrate, thereby saving bandwidth while retaining quality of the streaming content.

Quality-driven streaming

HARQ parameters (e.g., maximum HARQ retransmission values) may be adapted. Cross-layer control and/or logical channel control may be used to select a maximum number of HARQ retransmissions, for example based on packet priority and/or QCI values. Respective priorities of video packets may be used to select one of a plurality of logical channels associated with a video application that may be established at a source wireless hop and/or a destination wireless hop. The logical channels have different HARQ characteristics. Different maximum HARQ retransmission values may be determined for select logical channels, for example such that packets of different priorities may be transmitted over different logical channels. One or more of the channels may be associated with one or more transmission queues that may have different priority designations. Video packets may be reordered (e.g., with respect to transmission order) within the transmission queues, for example in accordance with respective HARQ parameters.

Method and apparatus for video aware hybrid automatic repeat request

Embodiments contemplate devices and techniques for receiving unicast and multicast transmissions over a downlink (DL) shared channel in parallel, for example an LTE DL shared channel (SCH). For example, one or more hybrid automatic repeat request (HARQ) entities may be configured to perform retransmissions of the multicast and/or unicast messages. Common and/or dedicated (e.g., separate) HARQ entities may be utilized for retransmission. The multicast downlink shared channels may be activated and/or deactivated on demand. The activation and/or deactivation may be performed using radio resource control (RRC) signaling and/or Medium Access Control (MAC) signaling. The multicast and/or unicast downlink shared channel data may include scalable video coding (SVC) data of varying priority. Embodiments also contemplate the use of simultaneous (e.g. parallel) multicast/unicast for scalable video coding transmission over WiFi/802.11 protocol signals.

Scalable video coding over simultaneous unicast/multicast LTE DL shared channel

Error resilient video coding schemes that may be employed at a transmitter or transcoder to limit error propagation at the receiver. Embodiments may include the use of Inhomogeneous Temporal Multiple Description Coding (ITMDC), cross-description error concealment, and cross-description reference picture reset (RPS) as well as homogeneous and inhomogeneous temporal/spatial MDC.

System and method for error-resilient video coding

Error resilient rate distortion optimization (ERRDO) is used for transmitting high quality images and video over constrained bandwidth networks, e.g., in streaming applications. Transmitting high quality images and video by reducing computational complexity is described.

Error resilient rate distortion optimization for image and video encoding

Growing community of inventors

San Diego, CA, United States of America

Zhifeng Chen