BRAN FERREN - Beverly Hills CA, US Lakshman Krishnamurthy - Portland OR, US Schawn A. Jasmann - Los Angeles CA, US David Beal - Los Angeles CA, US Pablo A. Maurin - Glendale CA, US
International Classification:
G06F 13/00
US Classification:
725 37
Abstract:
A mechanism is described for facilitating multiple multimedia viewing planes in media display systems according to one embodiment of the invention. A method of embodiments of the invention includes using a plurality of multimedia planes corresponding to a plurality of multimedia content types. The plurality of multimedia planes may be integrated to be presented through an integrated user interface at a media processing device. The method may further include selecting, via the integrated user interface, one or more content categories from a plurality of multimedia content categories, and presenting, via a multimedia plane of the plurality of multimedia planes, contents associated with the one or more selected content categories.
Touch Sensor Gesture Recognition For Operation Of Mobile Devices
Bran Ferren - Beverly Hills CA, US David Beal - Pasadena CA, US W. Daniel Hillis - Encino CA, US Dimitri Negroponte - Los Angeles CA, US James Sarrett - Sunland CA, US
International Classification:
G06F 3/0488
US Classification:
715863
Abstract:
Touch sensor gesture recognition for operation of mobile devices. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, where the mobile device divides the plurality of sensor elements into multiple zones, and the mobile device interprets the gestures based at least in part on which of the zones detects the gesture. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, where the processor is to identify one or more dominant actions for an active application or a function of the active application and is to choose a gesture identification algorithm from a plurality of gesture recognition algorithms based at least in part on identified one or more dominant actions, and is to determine a first intended action of a user based on an interpretation of a first gesture using the chosen gesture identification algorithm. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, and a mapping between touch sensor data and actual positions of user gestures, the mapping of data being generated by an artificial neural network, where the processor utilizes the mapping at least in part to interpret the gestures.
Color Night Vision Cameras, Systems, And Methods Thereof
- Burbank CA, US Bran FERREN - Beverly Hills CA, US Adrian KAEHLER - Los Angeles CA, US Dan RUDERMAN - Glendale CA, US David BEAL - Glendale CA, US Pablo MAURIN - Glendale CA, US Eric POWERS - Glendale CA, US
Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.
Color Night Vision Cameras, Systems, And Methods Thereof
- Burbank CA, US Bran FERREN - Beverly Hills CA, US Adrian KAEHLER - Los Angeles CA, US Dan RUDERMAN - Glendale CA, US David BEAL - Glendale CA, US Pablo MAURIN - Glendale CA, US Eric POWERS - Glendale CA, US
Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.
Color Night Vision Cameras, Systems, And Methods Thereof
- Burbank CA, US Bran FERREN - Beverly Hills CA, US Adrian KAEHLER - Los Angeles CA, US Dan RUDERMAN - Glendale CA, US David BEAL - Glendale CA, US Pablo MAURIN - Glendale CA, US Eric POWERS - Glendale CA, US
Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.
Color Night Vision Cameras, Systems, And Methods Thereof
- Burbank CA, US Bran FERREN - Beverly Hills CA, US Adrian KAEHLER - Los Angeles CA, US Dan RUDERMAN - Glendale CA, US David BEAL - Glendale CA, US Pablo MAURIN - Glendale CA, US Eric POWERS - Glendale CA, US
Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.
Touch Sensor Gesture Recognition For Operation Of Mobile Devices
Bran FERREN - Beverly Hills CA, US David BEAL - Los Angeles CA, US W. Daniel HILLIS - Encino CA, US Dimitri NEGROPONTE - Los Angeles CA, US James SARRETT - Sunland CA, US
Touch sensor gesture recognition for operation of mobile devices. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, where the mobile device divides the plurality of sensor elements into multiple zones, and the mobile device interprets the gestures based at least in part on which of the zones detects the gesture. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, where the processor is to identify one or more dominant actions for an active application or a function of the active application and is to choose a gesture identification algorithm from a plurality of gesture recognition algorithms based at least in part on identified one or more dominant actions, and is to determine a first intended action of a user based on an interpretation of a first gesture using the chosen gesture identification algorithm. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, and a mapping between touch sensor data and actual positions of user gestures, the mapping of data being generated by an artificial neural network, where the processor utilizes the mapping at least in part to interpret the gestures.
Color Night Vision Cameras, Systems, And Methods Thereof
- Burbank CA, US Bran FERREN - Beverly Hills CA, US Adrian KAEHLER - Los Angeles CA, US Dan RUDERMAN - Glendale CA, US David BEAL - Glendale CA, US Pablo MAURIN - Glendale CA, US Eric POWERS - Glendale CA, US
Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.
Wikipedia References
David Beal
David Beal (Photographer)
Name / Title
Company / Classification
Phones & Addresses
David A. Beal
MEMORIES PRESERVED PHOTOGRAPHY LLC
David W. Beal
BEAL TRUCKING INC
David D. Beal
D. B. LOGGING, LLC
David Beal Manager
Marion Beal Sales Inc Internet · Whol Auto Parts/Supplies Whol Service Establishment Equipment Whol Farm/Garden Machinery
12455 Branford St STE 16A, Pacoima, CA 91331 8188902200
Dr. Beal graduated from the University of Chicago Pritzker School of Medicine in 1961. He works in Anchorage, AK and specializes in Otolaryngology and Neurotology. Dr. Beal is affiliated with Alaska Regional Hospital.
Slye Elementary School East Hartford CT 1979-1982, Governor Pitkin Elementary School East Hartford CT 1982-1987, East Hartford Middle School East Hartford CT 1987-1987
Slye Elementary School East Hartford CT 1979-1982, Governor Pitkin Elementary School East Hartford CT 1982-1987, East Hartford Middle School East Hartford CT 1987-1989
Community:
Scott Doucette, Zach Schiff, Christopher Basler, William Evans, Katherine Lindsley, Krista Benson