The quantization parameter QP is well-known in digital video compression as an indication of picture quality. Digital symbols representing a moving image are quantized with a quantizing step that is a function QSN of the quantization parameter QP, which function QSN has been normalized to the most significant bit of the bit depth of the digital symbols. As a result, the effect of a given QP is essentially independent of bit depth a particular QP value has a standard effect on image quality, regardless of bit depth. The invention is useful, for example, in encoding and decoding at different bit depths, to generate compatible, bitstreams having different bit depths, and to allow different bit depths for different components of a video signal by compressing each with the same fidelity (i. e. , the same QP).
Walter Gish - Oak Park CA, US Christopher Vogt - Laguna Niguel CA, US
Assignee:
Dolby Laboratories Licensing Corporation - San Francisco CA
International Classification:
H04N 7/36
US Classification:
37524016, 37524015
Abstract:
Optimal error metric function for motion estimation is determined and used for video coding and/or video processing of images. To do so, an initial motion estimation using an initial error metric function can be performed. This can produce motion prediction errors. If the initial error metric function is not the optimal error function, then a final motion estimation is performed using a selected optimal error metric function. In some embodiments, a shape of error distribution can be used to determine the optimal error metric function. Some example systems or devices for this motion estimation can include systems or devices for compression, temporal interpolation, and/or super-resolution processing.
Walter C. Gish - Oak Park CA, US Christopher J. Vogt - Laguna Niguel CA, US
Assignee:
Dolby Laboratories Licensing Corporation - San Francisco CA
International Classification:
H04N 7/12 H04N 11/02 H04N 11/04
US Classification:
37524003, 37524001, 37524002, 37524026
Abstract:
The quantization parameter QP is well-known in digital video compression as an indication of picture quality. Digital symbols representing a moving image are quantized with a quantizing step that is a function QSN of the quantization parameter QP, which function QSN has been normalized to the most significant bit of the bit depth of the digital symbols. As a result, the effect of a given QP is essentially independent of bit depth a particular QP value has a standard effect on image quality, regardless of bit depth. The invention is useful, for example, in encoding and decoding at different bit depths, to generate compatible, bitstreams having different bit depths, and to allow different bit depths for different components of a video signal by compressing each with the same fidelity (i. e. , the same QP).
The quantization parameter QP is well-known in digital video compression as an indication of picture quality. Digital symbols representing a moving image are quantized with a quantizing step that is a function QSN of the quantization parameter QP, which function QSN has been normalized to the most significant bit of the bit depth of the digital symbols. As a result, the effect of a given QP is essentially independent of bit depth a particular QP value has a standard effect on image quality, regardless of bit depth. The invention is useful, for example, in encoding and decoding at different bit depths, to generate compatible, bitstreams having different bit depths, and to allow different bit depths for different components of a video signal by compressing each with the same fidelity (i. e. , the same QP).
Walter Gish - Oak Park CA, US Christopher Vogt - Omaha NE, US
International Classification:
G06K 9/36 G06K 9/00
US Classification:
382239000, 382251000
Abstract:
The quantization parameter QP is well-known in digital video compression as an indication of picture quality. Digital symbols representing a moving image are quantized with a quantizing step that is a function QSof the quantization parameter QP, which function QShas been normalized to the most significant bit of the bit depth of the digital symbols. As a result, the effect of a given QP is essentially independent of bit depth—a particular QP value has a standard effect on image quality, regardless of bit depth. The invention is useful, for example, in encoding and decoding at different bit depths, to generate compatible, bitstreams having different bit depths, and to allow different bit depths for different components of a video signal by compressing each with the same fidelity (i.e., the same QP).
Compatible Compression Of High Dynamic Range, Visual Dynamic Range, And Wide Color Gamut Video
Walter Gish - Oak Park CA, US Zhen Li - Cupertino CA, US Christopher Vogt - Laguna Niguel CA, US
Assignee:
DOLBY LABORATORIES LICENSING CORPORATION - San Francisco CA
International Classification:
H04N 7/26
US Classification:
37524025, 375E07027
Abstract:
A first image stream has a first dynamic range and a first color space. First and the second image streams are received in a layered codec. The second image stream has a second dynamic range, which is higher than the first dynamic range. The first image stream is in the codec's base layer; the second image stream is in its enhancement layer. The first image stream is encoded to obtain an encoded image stream, which is decoded to obtain a decoded image stream. The decoded image stream is converted from the first non-linear or linear color space to a second, different color space to obtain a color converted image stream. A higher dynamic range image representation of the color converted image stream is generated to obtain a transformed image stream. Inverse tone mapping parameters are generated based on the transformed image stream and the second image stream.
Walter Gish - Oak Park CA, US Zhen Li - Cupertino CA, US Donald Pian - San Diego CA, US Christopher Vogt - Laguna Niguel CA, US Hyung-Suk Kim - Valencia CA, US David Ruhoff - Marina del Rey CA, US
Assignee:
Dolby Laboratories Licensing Corporation - San Francisco CA
International Classification:
H04N 9/67
US Classification:
348708
Abstract:
Enhancing image dynamic range is described. An input video signal that is represented in a first color space with a first color gamut, which is related to a first dynamic range, is converted to a video signal that is represented in a second color space with a second color gamut. The second color space is associated with a second dynamic range. At least two (e.g., three) color-related components of the converted video signal are mapped over the second dynamic range.
Spectral Synthesis For Image Capture Device Processing
David Ruhoff - Marina del Rey CA, US Jon S. McElvain - Manhattan Beach CA, US Christopher J. Vogt - Laguna Niguel CA, US
Assignee:
DOLBY LABORATORIES LICENSING CORPORATION - San Francisco CA
International Classification:
H04N 9/73
US Classification:
3482231
Abstract:
A substantially rectangular spectral representation is synthesized, which is adapted to produce image capture device sensor outputs if applied to an image capture device. The synthesized substantially rectangular spectral representation can be utilized in generating output color values of an output color space from image capture device sensor outputs, where the image capture device sensor outputs correspond to an image captured by an image capture device. The generated output color values correspond to colors perceived by the human visual system for the same image as that captured by the image capture device. Image capture device gamut is also determined.
Name / Title
Company / Classification
Phones & Addresses
Christopher J. Vogt
HOWARD ROARK HOLDINGS II, LLC
Christopher J. Vogt
FAIRVIEW ATHLETIC BOOSTERS INC
Christopher Vogt
THE LINDENWALD LEDGER, LLC
Christopher Jay Vogt President
KALANTHA, INC
20 Ketch St SUITE 111, Marina del Rey, CA 90292
Christopher Jay Vogt President
GEMSTONE COMPUTER, INC
1000 Wilshire Blvd SUITE 650, Los Angeles, CA 90017
Dolby Laboratories Sep 1, 2003 - Jan 2018
Senior Staff Engineer, Image Technology at Dolby Laboratories, Inc
Various Jul 1988 - Sep 2003
Consultant
Wisdom Technologies Jan 1999 - Feb 2000
Senior Software Engineer
Symbolic Jun 1984 - May 1988
Senior Member of the Technical Staff
Raytheon Jan 1983 - May 1984
Engineer
Education:
Uc Irvine Sep 1980 - 1982
University of Nebraska - Lincoln 1975 - 1979
Bachelors, Bachelor of Science In Computer Science, Computer Science, Engineering, Computer Science and Engineering
Skills:
Digital Video Video Processing Digital Image Processing Video Compression Lisp Optimization Architecture C Codecs Embedded Software Embedded Systems H.264 Image Processing Hdr High Performance Computing Numerical Analysis Oop Object Oriented Design Signal Processing Software Design Software Development Programming Operating Systems R&D Software Engineering Numerical Simulation Numerical Modeling Algorithms Distributed Systems C++ Streaming Media Digital Tv Artificial Intelligence Mpeg Dvb Device Drivers Firmware System Architecture Video Coding Computer Vision Mpeg 4
Senior Staff Engineer, Image Technology at Dolby Laboratories, Inc.
Location:
Orange County, California Area
Industry:
Computer Software
Work:
Dolby Laboratories, Inc. - Burbank, CA since Sep 2003
Senior Staff Engineer, Image Technology
Various Jul 1988 - Sep 2003
Consultant
Wisdom Technologies - Greater Pittsburgh Area Jan 1999 - Feb 2000
Senior Software Engineer
Symbolics - Westwood, CA Jun 1984 - May 1988
Senior Member of the Technical Staff
Raytheon - Sudbury, MA Jan 1983 - May 1984
Engineer
Education:
University of California, Irvine Sep 1980 - Jun 1982
University of Nebraska, Lincoln Aug 1975 - May 1979
BSCS, Computer Science and Engineering
Skills:
Digital Video Video Processing Digital Image Processing Video Compression Lisp Optimization Architecture c Codecs Embedded Software Embedded Systems H.264 Image Processing HDR High Performance Computing Numerical Analysis OOP Object Oriented Design Signal Processing Software Design Software Development Programming Operating Systems R&D Software Engineering Numerical Simulation Numerical Modeling Algorithms C Distributed Systems C++ Streaming Media Digital TV Artificial Intelligence MPEG DVB
Interests:
Golf, Running, Wine (not necessarily in that order)
Henry W. Longfellow Elementary School Buffalo Grove IL 1987-1988, Tarkington Elementary School Wheeling IL 1988-1994, Cooper Middle School Buffalo Grove IL 1994-1996
Chris Vogt (1985-1990), Lisa Didonato (1975-1976), Greg Ross (1983-1988), Cortney Sarver (1989-1993), Steve Shivers (1973-1974), Matthew Mcchesney (1985-1989)