Yesvideo, Inc.

Numenta, Inc.

Electric Planet, Inc.

Elet Systems L.l.c.

Other

Yesvideo.com

Jeffrey L Edwards

Subutai Ahmad

Dileep George

Sai-Wai Fu

Hon Pun Sit

Adwait Ullal

Sadie Louise Honey

Frank Emmanuel Astier

Katerina H Nguyen

Jeffrey Charles Hawkins

Ronald Marianetti, Ii

Robert Gilchrist Jaros

William Cooper Saphir

Nella Shapiro

Michele Mae Covell

Harold G Sampson

Ronald Marianetti

Wiliam C Saphir

Michele May Covell

A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server.

Hierarchical temporal memory (HTM) system deployed as web service

A method and apparatus for producing video content. The method includes acquiring video data from a source. If the video data is not digitized, then the video data is digitized. The method includes generating scene indexes for the video data including a representative still image for each scene and combining the video data and scene indexes along with a media player on a video disc. The video player is operable to play the video data in accordance with the scene indexes including playing a scene from the video data on a client computer while displaying the representative stills for other of the scenes available for display on the video disc.

Video processing system

A spatio-temporal learning node is a type of HTM node which learns both spatial and temporal groups of sensed input patterns over time. Spatio-temporal learning nodes comprise spatial poolers which are used to determine spatial groups in a set of sensed input patterns. The spatio-temporal learning nodes further comprise temporal poolers which are used to determine groups of sensed input patterns that temporally co-occur. A spatio-temporal learning network is a hierarchical network including a plurality of spatio-temporal learning nodes.

Spatio-temporal learning algorithms in hierarchical temporal networks

A background subtraction apparatus of the present invention includes a key point locator for locating key points on a known object type, a boundary point locator for locating boundary points of the known object that make up the edges of the known object, and an edge processor for processing the edges to provide a clean-edged extraction of the known object from a background image. Preferably, the key point locator includes an alignment detector for detecting alignment of an image of the known object type with a skeleton image. Still more preferably, the skeleton image is an exoskeleton image and the known object type is a human being.

Method and apparatus for performing a clean background subtraction

A system, method and article of manufacture are provided for executing a setup protocol. A camera and a visual display device are coupled to a computer. Images are generated by the camera upon activation of the camera. A series of setup tests are then conducted on the images generated by the camera to determine whether the camera and surrounding environmental elements satisfy predetermined criteria of an intended computer vision application for optimal running of the intended computer vision application on the computer. The series of setup tests comprises at least one setup test selected from a library of setup tests.

System, method and article of manufacture for executing a video setup protocol

A system, method and article of manufacture are provided for tracking a head portion of a person image in video images. Upon receiving video images, a first head tracking operation is executed for generating a first confidence value. Such first confidence value is representative of a confidence that a head portion of a person image in the video images is correctly located. Also executed is a second head tracking operation for generating a second confidence value representative of a confidence that the head portion of the person image in the video images is correctly located. The first confidence value and the second confidence value are then outputted. Subsequently, the depiction of the head portion of the person image in the video images is based on the first confidence value and the second confidence value.

System, method and article of manufacture for tracking a head of a camera-generated image of a person

The invention identifies a blank segment (i.e., a segment that does not correspond to recorded visual content) in a set of visual recording data. The invention identifies a blank segment using a blank frame detector that is adapted to evaluate a frame of visual recording data to determine whether the frame of visual recording data is a blank frame, and a blank segment detector that is adapted to evaluate a characteristic of a group of frames of visual recording data to determine whether the group of frames of visual recording data is a blank segment comprising a plurality of blank frames. Identification of a blank segment can be used to, for example, decide whether to terminate digitization of a set of analog visual recording data.

Identification of blank segments in a set of visual recording data

A visual recording can be automatically edited in a manner that creates a summary of the visual recording in which only content that is of unacceptably low quality and/or very little or no interest is eliminated, thereby enabling the original unsummarized visual recording to be discarded if desired. Additionally, a summary of a visual recording can be automatically produced in accordance with a format template that imposes a certain overall style to the visual recording summary. Further, a viewer of a visual recording can be enabled to provide input which can affect the visual recording content included in an automatically generated summary of the visual recording.

Automatic editing of a visual recording to eliminate content of unacceptably low quality and/or very little or no interest

Growing community of inventors

Menlo Park, CA, United States of America

Jeffrey L Edwards