Sportvision, Inc.

Starsight Telecast Incorporated

Etak, Inc.

Rovi Guides, Inc.

Sportsvision, Inc.

Kenneth Alan Milnes

Richard H Cavallaro

Steven Michael Schein

Marvin S White

Stanley K Honey

Brian Lee Klosterman

Sean A O'Brien

Vidya Elangovan

Walter B Zavoli

Timothy P Heidmann

Alan C Phillips

James Orville McGuffin

Fred Judson Heinzmann

Rand Pendleton

Matthew T Lazar

George E Loughmiller, Jr

Richard Frederick Poppen

James R Gloudemans

David P Warden

Stuart K Neubarth

Roberto J Peon

John Roy Borton

Terence J O'Brien

Jeffrey J Kochy

Gordon Chang

Todd Blake

Darrell L Mathis

Marvin S White, Jr

Donald Metzger

Henry Perkins, Iii

Constantine Sokolik

Glenn R Peterson

Sean A O'brien

Sean Andrew O'brien

James O Mcguffin

The present invention provides systems and methods for providing television schedule and/or listing information to a viewer, and for allowing the viewer to link, search, select and interact with information in a remote database, e.g., a database on the internet. The television schedule and/or listing information can be displayed on a variety of viewer interfaces, such as televisions screens, computer monitors, PCTV screens and the like. The television schedule and/or listing information may be stored on the viewer's computer, television, PCTV, or a remote server (e.g., a website), or the television schedule and/or listing information may be downloaded from a remote database to the viewer's computer, television or PCTV.

Interactive computer system for providing television schedule information

An automated system is configured to enhance live video in real time by adding virtual graphics to imagery obtained from a moving camera, where the added virtual graphics can represent real yet not visible attributes such as wind speed and direction and non-real attributes such as lines indicative of racing advantages. The displayed positions of the virtual graphics are dependent on sensor measurements of the locations and/or attitudes in a real world 3D coordinate system of objects and of the movable camera The displayed positions of the virtual graphics are functions of corresponding locations in the real world 3D coordinate system.

System for enhancing video from a mobile camera

The present invention is directed to providing downloadable features, and more particularly to providing these features to identified receiving locations () in a television system (). Features may be desired by the manufacturer for correcting software defects, updating software, or meeting compatibility requirements. Features may also be ordered by consumers who respond to solicitation advertisements () for those features. The data related to the features is compiled and sent from a main location () to multiple receiving locations (and). The data is then stored in a memory () in the identified receiving locations (), and software is used to install or operate the stored feature.

Television system with downloadable features

An object is detected in images of a live event by storing and indexing templates based on representations of the object from previous images. For example, the object may be a vehicle which repeatedly traverses a course. A first set of images of the live event is captured when the object is at different locations in the live event. A representation of the object in each image is obtained, such as by image recognition techniques, and a corresponding template is stored. When the object again traverses the course, for each location, the stored template which is indexed to the location can be retrieved for use in detecting the object in a current image. The object's current location may be obtained from GPS data from the object, for instance, or from camera sensor data, e.g., pan, tilt and zoom, which indicates a direction in which the camera is pointed.

Detecting an object in an image using templates indexed to location or camera sensors

A representation of an object in an image of a live event is obtained by determining a color profile of the object. The color profile may be determined from the image in real time and compared to stored color profiles to determine a best match. For example, the color profile of the representation of the object can be obtained by classifying color data of the representation of the object into different bins of a color space, in a histogram of color data. The stored color profiles may be indexed to object identifiers, object viewpoints, or object orientations. Color data which is common to different objects or to a background color may be excluded. Further, a template can be used as an additional aid in identifying the representation of the object. The template can include, e.g., a model of the object or pixel data of the object from a prior image.

Identifying an object in an image using color profiles

A representation of an object in an image of a live event is detected by matching potential representation of the object against multiple types of templates. For example, the templates can include monochrome data, chrominance and/or luminance data, pixel data of the object from an earlier image, e.g., as a video template, an edge and morphology based template, a model of the object, or a predetermined static texture which is based on an appearance of the object. A weighting function may also be used. In one possible approach, a first type of template is used in an initial search area, and a second type of template is used in a smaller region of the initial search area. Based on a position of the optimum representation of the object in the image, a graphic can be provided in the image, or sensor and/or registration data of a camera can be updated.

Detecting an object in an image using multiple templates

An object is detected in images of a live event by storing and indexing camera registration-related data from previous images. For example, the object may be a vehicle which repeatedly traverses a course. A first set of images of the live event is captured when the object is at different locations in the live event. The camera registration-related data for each image is obtained and stored. When the object again traverses the course, for each location, the stored camera registration-related data which is indexed to the location can be retrieved for use in estimating a position of a representation of the object in a current image, such as by defining a search area in the image. An actual position of the object in the image is determined, in response to which the camera registration-related data may be updated, such as for use in a subsequent traversal of the course.

Detecting an object in an image using camera registration data indexed to location or camera sensors

Camera registration and/or sensor data is updated during a live event by determining a difference between an estimated position of an object in an image and an actual position of the object in the image. The estimated position of the object in the image can be based on an estimated position of the object in the live event, e.g., based on GPS or other location data. This position is transformed to the image space using current camera registration and/or sensor data. The actual position of the object in the image can be determined by template matching which accounts for an orientation of the object, a shape of the object, an estimated size of the representation of the object in the image, and the estimated position of the object in the image. The updated camera registration/sensor data can be used in detecting an object in a subsequent image.

Providing virtual inserts using image tracking with camera and position sensors

A method is disclosed for three-dimensional rendering of a live event such as an automobile race over a client device such as a personal computer. Moving and stationary objects at the event may be rendered using computer-generated graphics of the moving and stationary objects and real time positional data giving the position of the moving objects over time. The positional data may be streamed to the client device and displayed in real time or substantially real time.

Three dimensional virtual rendering of a live event

A system and method for displaying a simplified electronic program schedule guide on a user's television monitor is provided. In one embodiment, the program schedule guide is abbreviated to include only the programs currently available for viewing on a subset of the available channels. In another embodiment, the program guide screen visually distinguishes between programs for the convenience of the viewer.

Guide system and method of operation

A system is disclosed for using camera attitude sensors with a camera. A camera assembly includes a tripod base, a tripod head interface mounted on the tripod base, a tripod head mounted on the tripod head interface and a camera mounted on the tripod head. The tripod head enables the camera to pan and tilt. The system also includes a first optical encoder for detecting the amount that the camera has been panned and a second optical encoder for detecting the amount that the camera has been tilted. Two inclinometers are mounted on the tripod head interface to measure attitude of the tripod head. Two gyroscopes ('gyros') are mounted on the camera assembly. Data from the encoders, gyros and inclinometers are packaged and sent to graphics production equipment to be used for enhancing video captured by the camera.

Measuring camera attitude

A system uses GPS receivers and other sensors to acquire data about one or more objects at an event. The data acquired by the GPS receivers and the sensors is used to determine various statistics about the objects and/or enhance a video presentation of the objects. In one embodiment, the acquired data is used to determine three dimensional positions of the objects, determine the positions of images of the objects in a video and enhance the video accordingly. One exemplar use of the present invention is with a system for tracking automobiles at a race. The system determines statistics about the automobiles and enhances a video presentation of the race.

GPS based tracking system

Growing community of inventors

Fremont, CA, United States of America

Kenneth Alan Milnes