Patents by Inventor Christopher Weed
Christopher Weed 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).
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Patent number: 11758994Abstract: A storage container includes a rigid bottom, a first side wall, a second side wall, a third side wall, a fourth side wall and a top, wherein the first, second, third and fourth side walls each comprise primarily fabric. The top defines an opening to an interior of the storage container. A rigid exterior frame includes a first side wall frame portion connected to the first side wall, a second side wall frame portion connected to the second side wall, a first top frame portion, and a second top frame portion, the first top frame portion interconnecting the first side wall frame portion and the second side wall frame portion, the second top frame portion interconnecting the first side wall frame portion and the second side wall frame portion.Type: GrantFiled: December 20, 2019Date of Patent: September 19, 2023Assignee: BIG TIME PRODUCTS, LLCInventors: Jarrod Thomas Streng, Christopher Weed, Mark Butts, Ryan Kubica, James Blake Fievet, Jing Li
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Publication number: 20200205532Abstract: A storage container includes a rigid bottom, a first side wall, a second side wall, a third side wall, a fourth side wall and a top, wherein the first, second, third and fourth side walls each comprise primarily fabric. The top defines an opening to an interior of the storage container. A rigid exterior frame includes a first side wall frame portion connected to the first side wall, a second side wall frame portion connected to the second side wall, a first top frame portion, and a second top frame portion, the first top frame portion interconnecting the first side wall frame portion and the second side wall frame portion, the second top frame portion interconnecting the first side wall frame portion and the second side wall frame portion.Type: ApplicationFiled: December 20, 2019Publication date: July 2, 2020Inventors: Jarrod Thomas STRENG, Christopher WEED, Mark BUTTS, Ryan KUBICA, James Blake FIEVET, Jing Li
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Patent number: 10097851Abstract: Perceptual statistics are used to compute importance maps that indicate which regions of a video frame are important to the human visual system. Importance maps may be generated from encoders that produce motion vectors and employ motion estimation for inter-prediction. The temporal contrast sensitivity function (TCSF) may be computed from the encoder's motion vectors. Quality metrics may be used to construct a true motion vector map (TMVM), which refines the TCSF. Spatial complexity maps (SCMs) can be calculated from simple metrics (e.g. block variance, block luminance, SSIM, and edge detection). Importance maps with TCSF, TMVM, and SCM may be used to modify the standard rate-distortion optimization criterion for selecting the optimum encoding solution. Importance maps may modify encoder quantization. The spatial information for the importance maps may be provided by a lookup table based on block variance, where negative and positive spatial QP offsets for block variances are provided.Type: GrantFiled: November 18, 2016Date of Patent: October 9, 2018Assignee: Euclid Discoveries, LLCInventors: Nigel Lee, Sangseok Park, Myo Tun, Dane P. Kottke, Jeyun Lee, Christopher Weed
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Patent number: 10091507Abstract: Perceptual statistics may be used to compute importance maps that indicate which regions of a video frame are important to the human visual system. Importance maps may be applied to the video encoding process to enhance the quality of encoded bitstreams. The temporal contrast sensitivity function (TCSF) may be computed from the encoder's motion vectors. Motion vector quality metrics may be used to construct a true motion vector map (TMVM) that can be used to refine the TCSF. Spatial complexity maps (SCMs) can be calculated from metrics such as block variance, block luminance, SSIM, and edge strength, and the SCMs can be combined with the TCSF to obtain a unified importance map. Importance maps may be used to improve encoding by modifying the criterion for selecting optimum encoding solutions or by modifying the quantization for each target block to be encoded.Type: GrantFiled: September 3, 2015Date of Patent: October 2, 2018Assignee: Euclid Discoveries, LLCInventors: Nigel Lee, Sangseok Park, Myo Tun, Dane P. Kottke, Jeyun Lee, Christopher Weed
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Patent number: 9621917Abstract: Continuous block tracking (CBT) tracks macroblock locations over reference frames to produce better inter-predictions than conventional block-based motion estimation/compression. CBT includes frame-to-frame tracking, estimating motion from a frame to a previous frame, and continuous tracking, related frame-to-frame motion vectors to block tracks. Frame-to-frame tracking may include block based or hierarchical motion estimations. CBT combined with enhanced predictive zonal search may create unified motion estimation. Accumulated CBT results may form trajectories for trajectory-based CBT predictions. Metrics measuring continuous track and motion vector quality can assess relative priority of CBT prediction against non-tracker-based predictions and to modify encoding choices. Continuous tracks can be analyzed for goodness-of-fit to translational motion models, with outliers removed from encoding. Translational motion models can be extended to entire frames in adaptive picture type selection.Type: GrantFiled: November 4, 2014Date of Patent: April 11, 2017Assignee: EUCLID DISCOVERIES, LLCInventors: Dane P. Kottke, John J. Guo, Jeyun Lee, Sangseok Park, Christopher Weed, Justin Kwan, Nigel Lee
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Publication number: 20170070745Abstract: Perceptual statistics are used to compute importance maps that indicate which regions of a video frame are important to the human visual system. Importance maps may be generated from encoders that produce motion vectors and employ motion estimation for inter-prediction. The temporal contrast sensitivity function (TCSF) may be computed from the encoder's motion vectors. Quality metrics may be used to construct a true motion vector map (TMVM), which refines the TCSF. Spatial complexity maps (SCMs) can be calculated from simple metrics (e.g. block variance, block luminance, SSIM, and edge detection). Importance maps with TCSF, TMVM, and SCM may be used to modify the standard rate-distortion optimization criterion for selecting the optimum encoding solution. Importance maps may modify encoder quantization. The spatial information for the importance maps may be provided by a lookup table based on block variance, where negative and positive spatial QP offsets for block variances are provided.Type: ApplicationFiled: November 18, 2016Publication date: March 9, 2017Inventors: Nigel Lee, Sangseok Park, Myo Tun, Dane P. Kottke, Jeyun Lee, Christopher Weed
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Publication number: 20160073111Abstract: Perceptual statistics may be used to compute importance maps that indicate which regions of a video frame are important to the human visual system. Importance maps may be applied to the video encoding process to enhance the quality of encoded bitstreams. The temporal contrast sensitivity function (TCSF) may be computed from the encoder's motion vectors. Motion vector quality metrics may be used to construct a true motion vector map (TMVM) that can be used to refine the TCSF. Spatial complexity maps (SCMs) can be calculated from metrics such as block variance, block luminance, SSIM, and edge strength, and the SCMs can be combined with the TCSF to obtain a unified importance map. Importance maps may be used to improve encoding by modifying the criterion for selecting optimum encoding solutions or by modifying the quantization for each target block to be encoded.Type: ApplicationFiled: September 3, 2015Publication date: March 10, 2016Inventors: Nigel Lee, Sangseok Park, Myo Tun, Dane P. Kottke, Jeyun Lee, Christopher Weed
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Publication number: 20150256850Abstract: Continuous block tracking (CBT) tracks macroblock locations over reference frames to produce better inter-predictions than conventional block-based motion estimation/compression. CBT includes frame-to-frame tracking, estimating motion from a frame to a previous frame, and continuous tracking, related frame-to-frame motion vectors to block tracks. Frame-to-frame tracking may include block based or hierarchical motion estimations. CBT combined with enhanced predictive zonal search may create unified motion estimation. Accumulated CBT results may form trajectories for trajectory-based CBT predictions. Metrics measuring continuous track and motion vectors quality can assess relative priority of CBT predictions against non-tracker-based predictions and to modify encoding choices. Continuous tracks can be analyzed for goodness-of-fit to translational motion models, with outliers removed from encoding. Translational motion models can be extended to entire frames in adaptive picture type selection.Type: ApplicationFiled: November 4, 2014Publication date: September 10, 2015Inventors: Dane P. Kottke, John J. Guo, Jeyun Lee, Sangseok Park, Christopher Weed, Justin Kwan, Nigel Lee
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Patent number: D990482Type: GrantFiled: September 15, 2020Date of Patent: June 27, 2023Assignee: LIBERTY MUTUAL INSURANCE COMPANYInventors: Richard Brigham Pendleton, Troy Michael Campano, Christopher Weed
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Patent number: D990483Type: GrantFiled: September 15, 2020Date of Patent: June 27, 2023Assignee: LIBERTY MUTUAL INSURANCE COMPANYInventors: Christopher Weed, Troy Michael Campano, Richard Brigham Pendleton