Texas Instruments Corporation

Jonathan D Courtney

Edwin Randolph Cole

Yeshwant K Muthusamy

Dinesh R Nair

Rajendra K Talluri

Arnab Das

Thomas J Bannon

A system and method for providing a controllable virtual environment includes a computer ( ) with processor and a display coupled to the processor to display 2-D or 3-D virtual environment objects. Speech grammars are stored as attributes of the virtual environment objects. Voice commands are recognized by a speech recognizer ( ) and microphone ( ) coupled to the processor whereby the voice commands are used to manipulate the virtual environment objects on the display. The system is further made role-dependent whereby the display of virtual environment objects and grammar is dependent on the role of the user.

System and method for advanced interfaces for virtual environments

A method to provide automatic content-based video indexing from object motion is described. Moving objects in video from a surveillance camera detected in the video sequence using motion segmentation methods by motion segmentor Objects are tracked through segmented data in an object tracker A symbolic representation of the video is generated in the form of an annotated graphics describing the objects and their movement. A motion analyzer analyzes results of object tracking and annotates the graph motion with indices describing several events. The graph is then indexed using a rule based classification scheme to identify events of interest such as appearance/disappearance, deposit/removal, entrance/exit, and motion/rest of objects. Clips of the video identified by spatio-temporal, event, and object-based queries are recalled to view the desired video.

Motion based event detection system and method

A monitoring apparatus ( ) includes a video camera ( ) with a section ( ) that permits remote control of the camera. A computer subjects video images from the camera to video processing ( ), which includes temporal sampling, spatial sampling, and dithering. The processed image ( ) is integrated into a document in hypertext mark-up language format. A portable unit ( ) is operatively coupled to the computer through a wireless link ( ), a cellular base station ( ), and a network ( ) or telephone line ( ). An infrared sensor ( ) can detect an event of interest in the monitored area, causing the computer to place a telephone call to the portable unit. The person possessing the portable unit can then use the portable unit to access the document which contains the processed image through the network, in order to observe or verify the event. The person can also use the portable unit to remotely control the operation of the video camera.

Monitoring system having wireless remote viewing and control

A system and method for providing a controllable virtual environment includes a computer (,) with processor and a display coupled to the processor to display 2-D or 3-D virtual environment objects. Speech grammars are stored as attributes of the virtual environment objects. Voice commands are recognized by a speech recognizer (,) and microphone (,) coupled to the processor whereby the voice commands are used to manipulate the virtual environment objects on the display. The system is further made role-dependent whereby the display of virtual environment objects and grammar is dependent on the role of the user.

Object detection for scene change analysis is performed by a statistical test applied to data extracted from two images taken from the same scene from identical viewpoints. It is assumed that a single change region corresponding to an object that is present in one image but absence in the other is given. In the case of TV data, the test consists of measuring the coincidence of edge pixels in each image with the boundary of the change region. In the case of IR data, the tests consist of measuring the pixel intensity variance within the change region in each image.

Object detection method and system for scene change analysis in TV and

A video compression method and system including object-oriented compression with object boundaries described by maps of 2.times.2 (or larger) blocks of pixels in which at least a fraction of the pixels of such blocks are in the object.

Content-based video compression

A method to provide automatic content-based video indexing from object motion is described. Moving objects in video from a surveillance camera 11 detected in the video sequence using motion segmentation methods by motion segmentor 21. Objects are tracked through segmented data in an object tracker 22. A symbolic representation of the video is generated in the form of an annotated graphics describing the objects and their movement. A motion analyzer 23 analyzes results of object tracking and annotates the graph motion with indices describing several events. The graph is then indexed using a rule based classification scheme to identify events of interest such as appearance/disappearance, deposit/removal, entrance/exit, and motion/rest of objects. Clips of the video identified by spatio-temporal, event, and object-based queries are recalled to view the desired video.

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Richardson, TX, United States of America

Jonathan D Courtney