Qualcomm Incorporated

Other

Nokia Corporation

Nokia Technologies Oy

W.r. Grace & Co. -conn.

Velos Media, LLC

Google Inc.

Thomson Licensing

Gcp Applied Technologies Inc.

Huawei Technologies Co., Limited

Boe Technology Group Co., Ltd.

Arris Enterprises LLC

General Instrument Corporation

Florida Atlantic University

Harbor Branch Oceanographic Institution, Inc.

Ying Hai Chen

Marta Karczewicz

Ye-Kui Wang

Li Feng Zhang

Adarsh Krishnan Ramasubramonian

Hongbin Liu

Jianle Chen

Xiang Yang Li

Ning Bi

Fnu Hendry

Peisong Chen

Lei Wang

Xin Zhao

Vadim Seregin

Jewon Kang

Miska Matias Hannuksela

Yang Zhou

Mark Watson

Wei-Jung Chien

Thomas Stockhammer

Krishnakanth Rapaka

Lawrence L Kuo

Vijayaraghavan Thirumalai

Jinglun Gao

Rong Zhang

Xianglin Wang

Muhammed Zeyd Coban

Michael G Luby

Bin Wang

Payam Pakzad

Chao Pang

Lorenzo Vicisano

Rajan Laxman Joshi

Xin Qiu

Amy E Wright

Ting Yao

Shirley A Pomponi

Jian Wei

Peter J McCarthy

Yong Wang

Joel Sole Rojals

Ross E Longley

Jinsong Zheng

Jianfeng Ren

Hideo Koyata

Xuerui Zhang

Zhongmin Wang

Geert Van Der Auwera

Edouard Francois

Yunfei Zheng

Wei Zhang

Liwei Guo

Yingyong Qi

In Suk Chong

Lei Ma

Franky So

Dashan Gao

Patrick Lopez

Sungwon Lee

Chinchuan Andrew Chiu

Kirk S Schanze

Ara A Jeknavorian

Jaber Mohammad Borran

Yu Wen Wu

Yong Ying Gao

Chengjie Tu

Cheng Peng

Ke-Li Cheng

Guoqing Xie

Karthik Nagarajan

Jérôme Vieron

Claude P Selitrennikoff

Oscar L Jiang

Vincent Bottreau

Peter Allen Fox

Prasanjit Panda

Stuart Moskovics

Cheng Li

Liqiang Chen

Shuai Zhang

Annissa Al-Alusi

Yunke Pan

Chen-Lan Chester Yen

Abhijit Bhattacharya

Rodney Grant Vaughan

Christopher P Gardner

Xiangyu Fu

Rajendra Acharya

Thomas J Barbour

Chia Ling Tsai

Zilin Du

Sundardas Samuel Dorai-Raj

Ronald Karyodisa

Mayank Tiwari

Shuyi Liu

Szuheng Ho

Xiaozhou Fu

Jiajing Liu

Wei Lin Chou

Dedra Harmody

A block-request streaming system provides for low-latency streaming of a media presentation. A plurality of media segments are generated according to an encoding protocol. Each media segment includes a random access point. A plurality of media fragments are encoded according to the same protocol. The media segments are aggregated from a plurality of media fragments.

Enhanced block-request streaming system for handling low-latency streaming

A video encoder is configured to determine a picture size for one or more pictures included in a video sequence. The picture size associated with the video sequence may be a multiple of an aligned coding unit size for the video sequence. In one example, the aligned coding unit size for the video sequence may comprise a minimum coding unit size where the minimum coding unit size is selected from a plurality of smallest coding unit sizes corresponding to different pictures in the video sequence. A video decoder is configured to obtain syntax elements to determine the picture size and the aligned coding unit size for the video sequence. The video decoder decodes the pictures included in the video sequence with the picture size, and stores the decoded pictures in a decoded picture buffer.

Signaling picture size in video coding

Methods, systems, and computer readable medium for personalizing an analytics user interface. The method includes generating a set of training data from received user interaction data, inputting the set of training data to a machine learning model to train the model, generating a set of user interest scores for the particular user that each indicate a user's interest in accessing information corresponding to a UI element of the application, determining, from the user interest scores, that the user is interested in a particular UI element that was not included in the initial UI and has at least a threshold score, dynamically modifying the initial UI to include the particular UI element, presenting the updated UI, monitoring further user interactions, updating the model based on the further user interactions, and modifying the updated UI based on the updated model.

Analytics personalization framework

A system for generating unique digital certificates is provided that generates computed hashes public keys and compares them. The system method computes a hash of a public key, compares the computed hash of the public key with hashes of public keys previously generated, generates the digital certificate having the public key and a device identifier only if the computed hash of the public key does not match any of the hashes of public keys previously generated, and provides the digital certificate.

Method and apparatus for online and offline generation of unique digital certificates

In one example, a video coder is configured to code a first slice, wherein the first slice comprises one of a texture slice and a corresponding depth slice, wherein the first slice has a slice header comprising complete syntax elements representative of characteristics of the first slice. The video coder is further configured to determine common syntax elements for a second slice from the slice header of the first slice. The video coder is also configured to code the second slice after coding the first slice at least partially based on the determined common syntax elements, wherein the second slice comprises one of the texture slice and the depth slice that is not the first slice, wherein the second slice has a slice header comprising syntax elements representative of characteristics of the second slice, excluding values for syntax elements that are common to the first slice.

Slice header prediction for depth maps in three-dimensional video codecs

Techniques are described related to output and removal of decoded pictures from a decoded picture buffer (DPB). The example techniques may remove a decoded picture from the DPB prior to coding a current picture. For instance, the example techniques may remove the decoded picture if that decoded picture is not identified in the reference picture set of the current picture.

Decoded picture buffer management

A block-request streaming system provides for improvements in the user experience and bandwidth efficiency of such systems, typically using an ingestion system that generates data in a form to be served by a conventional file server (HTTP, FTP, or the like), wherein the ingestion system intakes content and prepares it as files or data elements to be served by the file server. The system might include controlling the sequence, timing and construction of block requests, time based indexing, variable block sizing, optimal block partitioning, control of random access point placement, including across multiple presentation versions, dynamically updating presentation data, and/or efficiently presenting live content and time shifting.

Enhanced block-request streaming system using signaling or block creation

In one example, a device for coding video data includes a memory configured to store video data and a video coder configured to form, for a current block of the video data, a merge candidate list including a plurality of merge candidates, the plurality of merge candidates including four spatial neighboring candidates from four neighboring blocks to the current block and, immediately following the four spatial neighboring candidates, an advanced temporal motion vector prediction (ATMVP) candidate, code an index into the merge candidate list that identifies a merge candidate of the plurality of merge candidates in the merge candidate list, and code the current block of video data using motion information of the identified merge candidate.

Sub-prediction unit based advanced temporal motion vector prediction

In one implementation, an apparatus is provided for encoding or decoding video information. The apparatus comprises a memory configured to store inter-layer reference pictures associated with a current picture that is being coded. The apparatus further comprises a processor operationally coupled to the memory. In one embodiment, the processor is configured to indicate a number of inter-layer reference pictures to use to predict the current picture using inter-layer prediction. The processor is also configured to indicate which of the inter-layer reference pictures to use to predict the current picture using inter-layer prediction. The processor is also configured to determine an inter-layer reference picture set associated with the current picture using the indication of the number of inter-layer reference pictures and the indication of which of the inter-layer reference pictures to use to predict the current picture using inter-layer prediction.

Inter-layer picture signaling and related processes

In an example, a method of processing video data includes splitting a current block of video data into a plurality of sub-blocks for deriving motion information of the current block, where the motion information indicates motion of the current block relative to reference video data. The method also includes deriving, separately for each respective sub-block of the plurality of sub-blocks, motion information comprising performing a motion search for a first set of reference data that corresponds to a second set of reference data outside of each respective sub-block. The method also includes decoding the plurality of sub-blocks based on the derived motion information and without decoding syntax elements representative of the motion information.

Deriving motion information for sub-blocks in video coding

A multicast service processing method and an access device. In the method, an access device receives an on-demand request; the access device separately sends the on-demand request to a multicast source device through a first uplink port of the access device and a second uplink port of the access device, so that the multicast source device sends a first multicast packet and a second multicast packet based on the on-demand request; the access device receives the first multicast packet through the first uplink port of the access device, and receives the second multicast packet through the second uplink port of the access device; the access device obtains a multicast data stream based on attribute information of the first multicast packet and attribute information of the second multicast packet; and the access device sends the obtained multicast data stream to the program terminal.

Multicast service processing method and access device

Techniques for encapsulating video streams containing multiple coded views in a media file are described herein. In one example, a method includes parsing a track of multiview video data, wherein the track includes at least one depth view. The method further includes parsing information to determine a spatial resolution associated with the depth view, wherein decoding the spatial resolution does not require parsing of a sequence parameter set of the depth view. Another example method includes composing a track of multiview video data, wherein the track includes the one or more views. The example method further includes composing information to indicate a spatial resolution associated with the depth view, wherein decoding the spatial resolution does not require parsing of a sequence parameter set of the depth view.

Signaling of spatial resolution of depth views in multiview coding file format

The present invention provides a composition and method for controlling air voids in aqueous systems such as paints, coatings, sealants, adhesives, mastics, cements, mortar, masonry, or concrete, which comprises the reaction product of an oxidizing agent and a compound comprising at least one polyalkoxylated polyalkylene polyamine, at least one polyalkyoxylated polyethyleneimine, or a mixture thereof.

Method for defoaming cementitious compositions using polyamine oxides

Polyalkoxylated polyamine oxide defoaming compositions

Techniques and systems are provided for determining features for one or more objects in one or more video frames. For example, an image of an object, such as a face, can be received, and features of the object in the image can be identified. A size of the object can be determined based on the image, for example based on inter-eye distance of a face. Based on the size, either a high-resolution set of features or a low-resolution set of features is selected to compare to the features of the object. The object can be identified by matching the features of the object to matching features from the selected set of features.

Multi-resolution feature description for object recognition

Growing community of inventors

La Puente, CA, United States of America

Ying Hai Chen