Patents by Inventor Gabor Sines

Gabor Sines 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: 20230274168
    Abstract: An apparatus includes a processor configured to determine a first distribution associated with an artificial agent based on behavior associated with the artificial agent and a second distribution based on behavior of a user. The processor is further configured to generate a human-likeness similarity measurement by comparing the first distribution to the second distribution and modify the behavior of the artificial agent in response to the similarity measurement failing to satisfy a similarity threshold.
    Type: Application
    Filed: February 28, 2022
    Publication date: August 31, 2023
    Inventors: Ian Charles COLBERT, Mehdi SAEEDI, Gabor SINES, Thomas Daniel PERRY
  • Publication number: 20230156250
    Abstract: Virtual Reality (VR) processing devices and methods are provided for transmitting user feedback information comprising at least one of user position information and user orientation information, receiving encoded audio-video (AN) data, which is generated based on the transmitted user feedback information, separating the A/V data into video data and audio data corresponding to a portion of a next frame of a sequence of frames of the video data to be displayed, decoding the portion of a next frame of the video data and the corresponding audio data, providing the audio data for aural presentation and controlling the portion of the next frame of the video data to be displayed in synchronization with the corresponding audio data.
    Type: Application
    Filed: January 6, 2023
    Publication date: May 18, 2023
    Applicants: ATI Technologies ULC, Advanced Micro Devices, Inc.
    Inventors: Lei Zhang, Gabor Sines, Khaled Mammou, David Glen, Layla A. Mah, Rajabali M. Koduri, Bruce Montag
  • Patent number: 11575916
    Abstract: An encoding method is provided which includes receiving a plurality of images, obtaining values of elements in a portion of the images, sorting the elements according to different values of the elements, sorting the elements according to a number of occurrences of the different values and encoding the elements using a subset of the different values having corresponding numbers of occurrences that are higher than corresponding numbers of occurrences of other values. Examples also include a processing device and method for use with palette mode encoding in which the elements are a portion of pixels in images and the values are color values of the portion of pixels in the images.
    Type: Grant
    Filed: October 30, 2020
    Date of Patent: February 7, 2023
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Shu-Hsien Wu, Crystal Yeong-Pian Sau, Yang Liu, Wei Gao, Feng Pan, Ihab M. A. Amer, Ying Luo, Edward A. Harold, Gabor Sines, Ehsan Mirhadi
  • Patent number: 11568527
    Abstract: Calculating, for each frame of a plurality of frames, a corresponding quality value; calculating, for each frame of the plurality of frames, based on one or more visual attributes of a frame, a weight for the corresponding quality value of the frame; calculating an aggregate quality value for the plurality of frames based on the weight and the corresponding quality value for each frame of the plurality of frames; and providing an assessment of the plurality of frames based on the aggregate quality value for the plurality of frames.
    Type: Grant
    Filed: September 24, 2020
    Date of Patent: January 31, 2023
    Assignee: ATI TECHNOLOGIES ULC
    Inventors: Feng Pan, Yang Liu, Crystal Sau, Wei Gao, Mingkai Shao, Dong Liu, Ihab Amer, Gabor Sines
  • Patent number: 11568248
    Abstract: A processing device for executing a machine learning neural network operation includes memory and a processor. The processor is configured to receive input data at a layer of the machine learning neural network operation, receive a plurality of sorted filters to be applied to the input data, apply the plurality of sorted filters to the input data to produce a plurality of different feature maps, compress the plurality of different feature maps according to a similarity of the feature maps relative to each other and store the plurality of different feature maps in the memory.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: January 31, 2023
    Assignee: ATI Technologies ULC
    Inventors: Arash Hariri, Mehdi Saeedi, Boris Ivanovic, Gabor Sines
  • Patent number: 11553222
    Abstract: Virtual Reality (VR) processing devices and methods are provided for transmitting user feedback information comprising at least one of user position information and user orientation information, receiving encoded audio-video (A/V) data, which is generated based on the transmitted user feedback information, separating the A/V data into video data and audio data corresponding to a portion of a next frame of a sequence of frames of the video data to be displayed, decoding the portion of a next frame of the video data and the corresponding audio data, providing the audio data for aural presentation and controlling the portion of the next frame of the video data to be displayed in synchronization with the corresponding audio data.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: January 10, 2023
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Lei Zhang, Gabor Sines, Khaled Mammou, David Glen, Layla A. Mah, Rajabali M. Koduri, Bruce Montag
  • Patent number: 11551089
    Abstract: A processing device for executing a machine learning neural network operation includes memory and a processor. The processor is configured to receive input data at a layer of the machine learning neural network operation, receive a plurality of sorted filters to be applied to the input data, apply the plurality of sorted filters to the input data to produce a plurality of different feature maps, compress the plurality of different feature maps according to a sparsity of the feature maps and store the plurality of different feature maps in the memory.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: January 10, 2023
    Assignee: ATI Technologies ULC
    Inventors: Mehdi Saeedi, Arash Hariri, Gabor Sines
  • Patent number: 11490090
    Abstract: Methods and devices are provided for encoding video. By using co-sited gradient and variance values to detect text and line in frames of the video. A processor is configured to receive a plurality of frames of video, determine, for a portion of a frame, a variance of the portion of the frame and a gradient of the portion of the frame and encode, using one of a plurality of different encoding qualities, the portion of the frame based on the gradient and the variance of the portion of the frame. Encoding is performed at both the sub-frame level and frame level. The portion of the frame is classified into one of a plurality of categories based on the gradient and variance and encoded based on the category.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: November 1, 2022
    Assignee: ATI Technologies ULC
    Inventors: Mehdi Saeedi, Sai Harshita Tupili, Yang Liu, Mingkai Shao, Gabor Sines
  • Patent number: 11490127
    Abstract: Methods and apparatus provide cloud-based video encoding that generates encoded video data by one or more encoders in a cloud platform for a plurality of cloud encoding sessions. The methods and apparatus generate operational improvement tradeoff data in response to operational encoding metrics associated with the one or more encoders and change operational characteristics of the one or more encoders for at least one of the cloud encoding sessions based on the operational improvement tradeoff data.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: November 1, 2022
    Assignee: ATI TECHNOLOGIES ULC
    Inventors: Wei Gao, Ihab Amer, Feng Pan, Mingkai Shao, Crystal Sau, Dong Liu, Gabor Sines, Yang Liu
  • Publication number: 20220319096
    Abstract: An apparatus includes a processor and a collision detection unit operatively coupled to the processor. The collision detection unit is configured to process, using a machine learning model, one or more parameters associated with a ray cast in virtual environment comprising an object. The machine learning model is configured to approximate a mesh representing the object. The collision detection unit is further configured to determine if the ray collides with the object based on processing the one or more parameters. In response to determining if the ray collides with the object, the collision detection unit is configured to generate collision data associated with the ray and the object.
    Type: Application
    Filed: March 30, 2021
    Publication date: October 6, 2022
    Inventors: Thomas Daniel PERRY, Gabor SINES, Mehdi SAEEDI, Allen H. RUSH
  • Publication number: 20220309364
    Abstract: Systems, apparatuses, and methods for creating human-like non-player character (NPC) behavior with reinforcement learning (RL) are disclosed. An artificial intelligence (AI) engine creates a NPC that has seamless movement when accompanying a player controlled by a user playing a video game. The AI engine is RL-trained to stay close to the player but not get in the player's way while acting in a human-like manner. Also, the AI engine is RL-trained to evaluate the quality of information that is received over time from other AI engines and then to act on the evaluated information quality. Each AI agent is trained to evaluate the other AI agents and determine whether another AI agent is a friend or a foe. In some cases, groups of AI agents collaborate together to either help or hinder the player. The capabilities of each AI agent are independent from the capabilities of other AI agents.
    Type: Application
    Filed: March 29, 2021
    Publication date: September 29, 2022
    Inventors: Thomas Daniel Perry, Mehdi Saeedi, Gabor Sines
  • Publication number: 20220210479
    Abstract: Methods and apparatus provide cloud-based video encoding that generates encoded video data by one or more encoders in a cloud platform for a plurality of cloud encoding sessions. The methods and apparatus generate operational improvement tradeoff data in response to operational encoding metrics associated with the one or more encoders and change operational characteristics of the one or more encoders for at least one of the cloud encoding sessions based on the operational improvement tradeoff data.
    Type: Application
    Filed: December 31, 2020
    Publication date: June 30, 2022
    Inventors: Wei Gao, Ihab Amer, Feng Pan, Mingkai Shao, Crystal Sau, Dong Liu, Gabor Sines, Yang Liu
  • Publication number: 20220210429
    Abstract: Methods and devices are provided for encoding video. By using co-sited gradient and variance values to detect text and line in frames of the video. A processor is configured to receive a plurality of frames of video, determine, for a portion of a frame, a variance of the portion of the frame and a gradient of the portion of the frame and encode, using one of a plurality of different encoding qualities, the portion of the frame based on the gradient and the variance of the portion of the frame. Encoding is performed at both the sub-frame level and frame level. The portion of the frame is classified into one of a plurality of categories based on the gradient and variance and encoded based on the category.
    Type: Application
    Filed: December 30, 2020
    Publication date: June 30, 2022
    Applicant: ATI Technologies ULC
    Inventors: Mehdi Saeedi, Sai Harshita Tupili, Yang Liu, Mingkai Shao, Gabor Sines
  • Publication number: 20220210432
    Abstract: A processing apparatus and video encoding method are provided which include receiving a portion of a video sequence and determining complexities for blocks of pixels of the portion of the video sequence. Quantization parameter values for corresponding blocks of pixels are selected based on complexities of the corresponding blocks and visually perceived coding artifacts of the corresponding blocks produced by the quantization parameter values. The blocks of pixels are encoded, using the selected quantization parameter values. The blocks of pixels are decoded and the portion of the video sequence is provided for display.
    Type: Application
    Filed: December 28, 2020
    Publication date: June 30, 2022
    Applicant: ATI Technologies ULC
    Inventors: Feng Pan, Crystal Yeong-Pian Sau, Wei Gao, Mingkai Shao, Dong Liu, Ihab M. A. Amer, Gabor Sines
  • Publication number: 20220207408
    Abstract: Mapping machine learning activation data to a representative value palette, including: selecting, from a plurality of activation values of a model execution, a plurality of representative values; identifying, for each activation value of the plurality of activation values, a representative value of the plurality of representative values; calculating, for each activation value of the plurality of activation values, a corresponding residual value as a difference between an activation value and a corresponding representative value; and storing, for each activation value of the plurality of activation values, the corresponding residual value and an index of the corresponding representative value.
    Type: Application
    Filed: December 28, 2020
    Publication date: June 30, 2022
    Inventors: IHAB AMER, MEHDI SAEEDI, GABOR SINES
  • Publication number: 20220193549
    Abstract: Systems, apparatuses, and methods for performing adaptive audio mixing are disclosed. A trained neural network dynamically selects and mixes pre-recorded, human-composed music stems that are composed as mutually compatible sets. Stem and track selection, volume mixing, filtering, dynamic compression, acoustical/reverberant characteristics, segues, tempo, beat-matching and crossfading parameters generated by the neural network are inferred from the game scene characteristics and other dynamically changing factors. The trained neural network selects an artist's pre-recorded stems and mixes the stems in real-time in unique ways to dynamically adjust and modify background music based on factors such as game scenario, the unique storyline of the player, scene elements, the player's profile, interest, and performance, adjustments made to game controls (e.g., music volume), number of viewers, received comments, player's popularity, player's native language, player's presence, and/or other factors.
    Type: Application
    Filed: December 23, 2020
    Publication date: June 23, 2022
    Inventors: Carl Kittredge Wakeland, Mehdi Saeedi, Thomas Daniel Perry, Gabor Sines
  • Patent number: 11368692
    Abstract: Systems, apparatuses, and methods for generating a model for determining a quantization strength to use when encoding video frames are disclosed. A pre-encoder performs multiple encoding passes using different quantization strengths on a portion or the entirety of one or more pre-processed video frames. The pre-encoder captures the bit-size of the encoded output for each of the multiple encoding passes. Then, based on the multiple encoding passes, the pre-encoder generates a model for mapping bit-size to quantization strength for encoding video frames or portion(s) thereof. When the encoder begins the final encoding pass for one or more given video frames or any portion(s) thereof, the encoder uses the model to map a preferred bit-size to a given quantization strength. The encoder uses the given quantization strength when encoding the given video frame(s) or frame portion(s) to meet a specified bit-rate for the encoded bitstream.
    Type: Grant
    Filed: October 31, 2018
    Date of Patent: June 21, 2022
    Assignee: ATI Technologies ULC
    Inventors: Jinbo Qiu, Yang Liu, Ihab Amer, Lei Zhang, Edward A. Harold, Zhiqi Hao, Jiao Wang, Gabor Sines, Haibo Liu, Boris Ivanovic
  • Publication number: 20220159286
    Abstract: Systems, apparatuses, and methods for reducing latency when consuming an encoded video bitstream in real-time are disclosed. A video encoder encodes a video bitstream and writes chunks of the encoded bitstream to a bitstream buffer. Prior to the encoder completing the encoding of an entire frame, or an entire slice of a frame, a consumer module consumes encoded chunks of the bitstream. In one implementation, to enable pipelining of the consumption with the encoding, the encoder updates a buffer write pointer with an indication of the amount of data that has been written to the bitstream buffer. The consumer module retrieves encoded data from the bitstream buffer up to the location indicated by the buffer write pointer. In this way, the consumer module is able to access and consume encoded video data prior to the encoder finishing encoding an entire frame or an entire slice of the frame.
    Type: Application
    Filed: January 28, 2022
    Publication date: May 19, 2022
    Inventors: Ahmed M. Abdelkhalek, Edward A. Harold, Andy Sung, Stephen Ho, Lei Zhang, Ihab Amer, Gabor Sines, Zhiqi Hao, Yang Liu, Baochun Li, Kai Sun
  • Publication number: 20220141472
    Abstract: An encoding method is provided which includes receiving a plurality of images, obtaining values of elements in a portion of the images, sorting the elements according to different values of the elements, sorting the elements according to a number of occurrences of the different values and encoding the elements using a subset of the different values having corresponding numbers of occurrences that are higher than corresponding numbers of occurrences of other values. Examples also include a processing device and method for use with palette mode encoding in which the elements are a portion of pixels in images and the values are color values of the portion of pixels in the images.
    Type: Application
    Filed: October 30, 2020
    Publication date: May 5, 2022
    Applicants: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Shu-Hsien Wu, Crystal Yeong-Pian Sau, Yang Liu, Wei Gao, Feng Pan, Ihab M. A. Amer, Ying Luo, Edward A. Harold, Gabor Sines, Ehsan Mirhadi
  • Publication number: 20220092760
    Abstract: Calculating, for each frame of a plurality of frames, a corresponding quality value; calculating, for each frame of the plurality of frames, based on one or more visual attributes of a frame, a weight for the corresponding quality value of the frame; calculating an aggregate quality value for the plurality of frames based on the weight and the corresponding quality value for each frame of the plurality of frames; and providing an assessment of the plurality of frames based on the aggregate quality value for the plurality of frames.
    Type: Application
    Filed: September 24, 2020
    Publication date: March 24, 2022
    Inventors: FENG PAN, YANG LIU, CRYSTAL SAU, WEI GAO, MINGKAI SHAO, DONG LIU, IHAB AMER, GABOR SINES