University of Southern California

Lg Electronics Inc.

Other

Hewlett-packard Development Company, L.P.

Samsung Electronics Co., Ltd.

Texas Instruments Corporation

Mitsubishi Electric Research Laboratories, Inc.

Sisvel Technology S.r.l.

Kddi Research, Inc.

Fiveopenbooks, LLC

Antonio Ortega

Sehoon Yea

Hilmi Enes Egilmez

Yung-Hsuan Chao

Gene Cheung

Bumshik Lee

Godwin Shen

Moonmo Koo

Anthony Vetro

Bo Shen

Dong Tian

Wai-Tian Tan

Hassan Mansour

Takashi Sakamoto

Amir Said

Onur Gonen Guleryuz

Youngjun Yoo

Woo-Shik Kim

Jie Liang

Zhourong Miao

Jaejoon Lee

Jana Ehmann

Yongzhe Wang

Christos Chrysafis

Axel Becker-Lakus

Eduardo Hernan Pavez Carvelli

Ryousuke Watanabe

Shashank Nelamangala Sridhara

Asha Vellaikal

Keisuke Nonaka

Joseph Caldarola

Sunil K Narang

Javier Perez-Trufero

Kyouhei Unno

Scott M Darden

HoCheon Wey

Alexandre Ciancio

Hua Xie

Wenqing Jiang

Encoding efficiency for attribute information in point cloud information is improved. A point cloud encoding device includes a subsampling unit configured to preserve chroma signals of some points in a point cloud to be encoded and discard chroma signals of remaining points other than those points, and an attribute information encoding unit configured to encode the chroma signals of those points in the point cloud to be encoded and luma signals of all points.

Point cloud encoding device, point cloud decoding device, point cloud encoding method, point cloud decoding method, and program

The present invention provides a method for encoding a video signal based on an Edge Adaptive Graph-Based Transform (EA-GBT) including detecting a step edge or a ramp edge from a residual signal; generating a graph signal based on at least one of the step edge or the ramp edge; obtaining an EA-GBT coefficient by performing the EA-GBT for the graph signal; quantizing the EA-GBT coefficient; and entropy-encoding the quantized EA-GBT coefficient.

Method and apparatus for encoding/decoding video signal by using edge-adaptive graph-based transform

The present invention provides a method for encoding a video signal on the basis of a graph-based separable transform (GBST), the method comprising the steps of: generating an incidence matrix representing a line graph; training a sample covariance matrix for rows and columns from the rows and columns of a residual signal; calculating a graph Laplacian matrix for rows and columns on the basis of the incidence matrix and the sample covariance matrix for rows and columns; and obtaining a GBST by performing eigen decomposition of the graph Laplacian matrix for rows and columns.

Method and apparatus for encoding/decoding video signal by using graph-based separable transform

A method for encoding a raw lenselet image includes a receiving phase, wherein at least a portion of a raw lenselet image is received, the image including a plurality of macro-pixels, each macro-pixel having pixels corresponding to a specific view angle for the same point of a scene, and an output phase, wherein a bitstream having at least a portion of an encoded lenselet image is outputted. The method has an image transform phase, wherein the pixels of said raw lenselet image are spatially displaced in a transformed multi-color image having a larger number of columns and rows with respect to the received raw lenselet image, wherein dummy pixels having undefined value are inserted into the raw lenselet image and wherein the displacement is performed so as to put the estimated center location of each macro-pixel onto integer pixel locations. Moreover, the method includes a sub-view generation phase, wherein a sequence of sub-views is generated, said sub-views having pixels of the same angular coordinates extracted from different macro-pixels of the transformed raw lenselet image. Finally, the method has a graph coding phase, wherein a bitstream is generated by encoding a graph representation of at least one of the sub-views of the sequence according to a predefined graph signal processing technique.

Methods and apparatuses for encoding and decoding digital light field images

The present invention provides a method for encoding a video signal on the basis of a graph-based lifting transform (GBLT), comprising the steps of: detecting an edge from an intra residual signal; generating a graph on the basis of the detected edge, wherein the graph includes a node and a weight link; acquiring a GBLT coefficient by performing the GBLT for the graph; quantizing the GBLT coefficient; and entropy-encoding the quantized GBLT coefficient, wherein the GBLT includes a partitioning step, a prediction step, and an update step.

Method and apparatus for processing video signals using coefficient induced prediction

The present invention provides a method for encoding a video signal by using a single optimized graph, comprising the steps of: obtaining a residual block; generating graphs from the residual block; generating an optimized graph and an optimized transform by combining the graphs, wherein the graphs are combined on the basis of an optimization step; and performing a transform for the residual block on the basis of the optimized graph and the optimized transform.

Method for encoding/decoding video signal by using single optimized graph

A method and a device for decoding a video signal using an adaptive separable graph-based transform. The method includes: receiving a transform index for a target block from the video signal in which the transform index indicates a graph-based transform to be applied to the target block; deriving a graph-based transform kernel corresponding to the transform index; and decoding the target block based on the graph-based transform kernel. The device includes: a parsing unit configured to receive a transform index for a target block from the video signal; and an inverse-transform unit configured to derive a graph-based transform kernel corresponding to the transform index and decode the target block based on the graph-based transform kernel.

Method and device for processing a video signal by using an adaptive separable graph-based transform

For use in media communications, e.g., in the delivery of video and audio or in teleconferencing, a media file or title is partitioned for secured, efficient delivery. A data sequence representing the file is partitioned into smaller subsequences, with a first subsequence being chosen to convey a degrade-quality representation of the data, and the other sequences for complementing the first subsequence to obtain a superior-quality representation. Among areas of applicability are media on demand, real-time communications and broadcasting, and online media locker, jukebox, and chat room services.

Method and system for delivering media data

A method processes a signal represented as a graph by first determining a graph spectral transform based on the graph. In a spectral domain, parameters of a graph filter are estimated using a training data set of unenhanced and corresponding enhanced signals. The graph filter is derived based on the graph spectral transform and the estimated graph filter parameters. Then, the signal is processed using the graph filter to produce an output signal. The processing can enhance signals such as images by denoising or interpolating missing samples.

Method for estimating parameters of a graph spectral filter using training data

For use in media communications, e.g. in the delivery of video and audio or in teleconferencing, a media file or title is partitioned for secured, efficient delivery. A data sequence representing the file is partitioned into smaller subsequences, with a first subsequence being chosen to convey a degraded-quality representation of the data, and the other sequences for complementing the first subsequence to obtain a superior-quality representation. Among areas of applicability are media on demand, real-time communications and broadcasting, and online media locker, jukebox and chat room services.

A method for streaming video data. Video data is received. At least one frame of the video data is segmented into a plurality of regions. Video data corresponding to a first region of the plurality of regions is transmitted over a network. The video data corresponding to a second region of the plurality of regions is modified according to interactive input. The video data corresponding to a modified version of the second region is transmitted over the network.

Method for streaming video data

Devices, systems, and techniques for data collecting network such as wireless sensors are disclosed. A described technique includes detecting one or more remote nodes included in the wireless sensor network using a local power level that controls a radio range of the local node. The technique includes transmitting a local outdegree. The local outdegree can be based on a quantity of the one or more remote nodes. The technique includes receiving one or more remote outdegrees from the one or more remote nodes. The technique includes determining a local node type of the local node based on detecting a node type of the one or more remote nodes, using the one or more remote outdegrees, and using the local outdegree. The technique includes adjusting characteristics, including an energy usage characteristic and a data compression characteristic, of the wireless sensor network by selectively modifying the local power level and selectively changing the local node type.

Distributed transforms for efficient data gathering in sensor networks

An encoding system may generate an edge map based on a pixel value difference between neighboring pixels in an inputted image, generate a graph by connecting pixels using the generated edge map, select a prediction value for at least one pixel based on the generated graph, and encode an image based on the selected prediction value.

Image encoding/decoding system using graph based pixel prediction and encoding system and method

A system for managing multiview streaming video data composed of a plurality of frames includes an encoder configured to encode multiple representations of at least one frame of the plurality of frames corresponding to multiple views using different reference frames for each of the multiple representations. The system also includes a controller configured to create a coding tree containing the plurality of frames and the multiple representations. The system further includes a data store configured to store the coding tree, wherein the controller is further configured to identify a storage constraint of the data store and to omit at least one of the multiple representations from the coding tree to cause the plurality of frames stored in the data store to remain within the storage constraint.

Managing multiview streaming video data composed of frames

Techniques and sensor networks based on distributed wavelet transform algorithms for efficient sensor networks. Wireless multihop sensor networks can implement the described techniques to exploit the data flow direction in the network to perform partial computations to approximate the wavelet coefficients using the available data that arrives at each sensor. Non-multihop sensor networks may use inter-sensor communications and the distributed wavelet transform algorithms to decorrelate the data and thus improve the energy efficiency.

Efficient communications and data compression algorithms in sensor networks using discrete wavelet transform

Growing community of inventors

Los Angeles, CA, United States of America

Antonio Ortega