Patents by Inventor Yongzhe Wang
Yongzhe Wang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Publication number: 20250035297Abstract: A lighting apparatus includes a back cover, an annular structure and a light module. The annular structure has surrounding wall. The surrounding wall defines a top opening. The back cover conceals the top opening. The annular structure has a bottom rim extended outwardly from a bottom border of the surrounding wall. The annular structure and the back cover are fixed as a unit to conceal the installation opening. The annular structure and the back cover are made of a fireproof material. The back cover and the annular structure defines a container space. The light module is stored within the container space. The surface rim conceals the installation opening. The bottom ring is between the surface rim and an edge border of the installation opening.Type: ApplicationFiled: July 25, 2024Publication date: January 30, 2025Inventors: Shenggan Wang, Huitang Zhang, Yongzhe Dong, Ping Yan, Yange Su, Linhua Wang
-
Publication number: 20230419082Abstract: Systems and methods can include or leverage a machine-learned model (e.g., a convolutional neural network) that includes one or more temporal residual connections. In particular, each temporal residual connection can respectively supply one or more sets of intermediate feature data generated by a current instantiation of the model from a current sequential input to one or more other instantiations of the machine-learned model applied to process one or more other sequential inputs. For example, the other instantiations of the machine-learned model can include subsequent instantiations of the machine-learned model applied to process one or more subsequent sequential inputs that follow the current sequential input in a sequence and/or preceding instantiations of the machine-learned model applied to process one or more preceding sequential inputs that precede the current sequential input in a sequence.Type: ApplicationFiled: December 20, 2021Publication date: December 28, 2023Inventors: Liangzhe Yuan, Yongzhe Wang
-
Patent number: 10482126Abstract: A content system identifies shots in a first video and shots in a second video. Shot durations are determined for the identified shots of each video. A histogram is generated for each video, each histogram dividing the identified shots of the corresponding video into a set of buckets divided according to a range of shot durations. The system determines confidence weights for the buckets of each histogram, with the confidence weight for a bucket based on a likelihood of a particular number of identified shots occurring within the range of shot duration for that bucket. A correlation value is computed for the two videos based on a number of identified shots in each bucket of each respective histogram and based on the confidence weights. The content system determines whether the two videos are similar based on the correlation value and a self-correlation value of each video.Type: GrantFiled: November 30, 2016Date of Patent: November 19, 2019Assignee: Google LLCInventors: Yongzhe Wang, Anthony Mai
-
Patent number: 9998753Abstract: Encoding and decoding using prediction dependent transform coding are provided. Encoding and decoding using prediction dependent transform coding may include identifying a current input block from a current input frame from an input video stream, generating a prediction block for the current input block, generating a residual block based on a difference between the current input block and the prediction block, generating, by a processor in response to instructions stored on a non-transitory computer readable medium, an encoded block by encoding the residual block based on the prediction block using the using prediction dependent transform coding, including the encoded block in an output bitstream, and outputting or storing the output bitstream.Type: GrantFiled: January 16, 2017Date of Patent: June 12, 2018Assignee: GOOGLE LLCInventors: Debargha Mukherjee, Yongzhe Wang, Jingning Han
-
Publication number: 20180150469Abstract: A content system identifies shots in a first video and shots in a second video. Shot durations are determined for the identified shots of each video. A histogram is generated for each video, each histogram dividing the identified shots of the corresponding video into a set of buckets divided according to a range of shot durations. The system determines confidence weights for the buckets of each histogram, with the confidence weight for a bucket based on a likelihood of a particular number of identified shots occurring within the range of shot duration for that bucket. A correlation value is computed for the two videos based on a number of identified shots in each bucket of each respective histogram and based on the confidence weights. The content system determines whether the two videos are similar based on the correlation value and a self-correlation value of each video.Type: ApplicationFiled: November 30, 2016Publication date: May 31, 2018Inventors: Yongzhe Wang, Anthony Mai
-
Patent number: 9619755Abstract: 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.Type: GrantFiled: October 23, 2013Date of Patent: April 11, 2017Assignee: Mitsubishi Electric Research Laboratories, Inc.Inventors: Yongzhe Wang, Dong Tian, Hassan Mansour, Anthony Vetro, Antonio Ortega
-
Patent number: 9565451Abstract: Encoding and decoding using prediction dependent transform coding are provided. Encoding and decoding using prediction dependent transform coding may include identifying a current input block from a current input frame from an input video stream, generating a prediction block for the current input block, generating a residual block based on a difference between the current input block and the prediction block, generating, by a processor in response to instructions stored on a non-transitory computer readable medium, an encoded block by encoding the residual block based on the prediction block using the using prediction dependent transform coding, including the encoded block in an output bitstream, and outputting or storing the output bitstream.Type: GrantFiled: October 31, 2014Date of Patent: February 7, 2017Assignee: GOOGLE INC.Inventors: Debargha Mukherjee, Yongzhe Wang, Jingning Han
-
Publication number: 20150112897Abstract: 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 b denoising or interpolating missing samples.Type: ApplicationFiled: October 23, 2013Publication date: April 23, 2015Applicant: Mitsubishi Electric Research Laboratories, Inc.Inventors: Yongzhe Wang, Dong Tian, Hassan Mansour, Anthony Vetro, Antonio Ortega
-
Patent number: 8994722Abstract: An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depths associated with each pixel of a selected image is determined. For each candidate depth, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth with a least cost is selected to produce an optimal depth for the pixel. Then, the virtual image is synthesized based on the optimal depth of each pixel and the texture images. The method also applies first and second depth enhancement before, and during view synthesis to correct errors or suppress noise due to the estimation or acquisition of the dense depth images and sparse depth features.Type: GrantFiled: February 27, 2012Date of Patent: March 31, 2015Assignee: Mitsubishi Electric Research Laboratories, Inc.Inventors: Dong Tian, Yongzhe Wang, Anthony Vetro
-
Patent number: 8514932Abstract: Systems, methods and articles of manufacture are disclosed for performing scalable video coding. In one embodiment, non-linear functions are used to predict source video data using retargeted video data. Differences may be determined between the predicted video data and the source video data. The retargeted video data, the non-linear functions, and the differences may be jointly encoded into a scalable bitstream. The scalable bitstream may be transmitted and selectively decoded to produce output video for one of a plurality of predefined target platforms.Type: GrantFiled: February 8, 2010Date of Patent: August 20, 2013Assignee: Disney Enterprises, Inc.Inventors: Nikolce Stefanoski, Aljosa Smolic, Yongzhe Wang, Manuel Lang, Alexander Hornung, Markus Gross
-
Publication number: 20120206442Abstract: An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depth values associated with each pixel of a selected image is determined. For each candidate depth value, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth value with a least cost is selected to produce an optimal depth value for the pixel. Then, the virtual image is synthesized based on the optimal depth value of each pixel and the texture images.Type: ApplicationFiled: November 30, 2011Publication date: August 16, 2012Inventors: Dong Tian, Yongzhe Wang, Anthony Vetro
-
Publication number: 20120206451Abstract: An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depths associated with each pixel of a selected image is determined. For each candidate depth, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth with a least cost is selected to produce an optimal depth for the pixel. Then, the virtual image is synthesized based on the optimal depth of each pixel and the texture images. The method also applies first and second depth enhancement before, and during view synthesis to correct errors or suppress noise due to the estimation or acquisition of the dense depth images and sparse depth features.Type: ApplicationFiled: February 27, 2012Publication date: August 16, 2012Inventors: Dong Tian, Yongzhe Wang, Anthony Vetro
-
Publication number: 20110194024Abstract: Systems, methods and articles of manufacture are disclosed for performing scalable video coding. In one embodiment, non-linear functions are used to predict source video data using retargeted video data. Differences may be determined between the predicted video data and the source video data. The retargeted video data, the non-linear functions, and the differences may be jointly encoded into a scalable bitstream. The scalable bitstream may be transmitted and selectively decoded to produce output video for one of a plurality of predefined target platforms.Type: ApplicationFiled: February 8, 2010Publication date: August 11, 2011Inventors: Nikolce STEFANOSKI, Aljosa SMOLIC, Yongzhe WANG, Manuel LANG, Alexander HORNUNG, Markus GROSS