Abstract: A method for characterizing an image where a number of test areas of predefined shape and size are located on the image. The color or the texture of the image over each of the test areas is quantified. The image can be characterized by statistical descriptions of the frequency distribution of color or texture of the test areas.

Abstract: A system for providing traffic information to a plurality of mobile users connected to a network. The system comprises a plurality of traffic monitors, each comprising at least a traffic detector and a transmitter, the traffic detector generating a signal in response to vehicular traffic and the transmitter transmitting the signal. A receiver receives the signals from the traffic monitors. A computer system is connected to the receiver and is further connected to the network. The computer system in response to a request signal received from one of the users transmits in response thereto information representative of the signals transmitted by the traffic monitoring units. Alternative systems for gathering traffic information are disclosed.

Abstract: A system for providing traffic information to a plurality of mobile users connected to a network. The system comprises a plurality of traffic monitors, each comprising at least a traffic detector and a transmitter, the traffic detector generating a signal in response to vehicular traffic and the transmitter transmitting the signal. A receiver receives the signals from the traffic monitors. A computer system is connected to the receiver and is further connected to the network. The computer system in response to a request signal received from one of the users transmits in response thereto information representative of the signals transmitted by the traffic monitoring units. Alternative systems for gathering traffic information are disclosed.

Abstract: A method and system is provided for detecting occurrences of semantic temporal events based on observations extracted from input data and event models. The input data is fed into the system from some data source. Based on specified event to be detected, multiple-layer models corresponding to the event are retrieved. The models are used to determine the types of temporal observations to be extracted from the input data. The extracted temporal observations are then used, in combination with the multiple-layer models of the event, to detect the occurrences of the event.

Abstract: A digital content pricing apparatus may include a sales computer and a memory used to retain digital content items associated with a base price and one or more option prices, along with a final price related to the base and option prices by a final pricing formula. A method may include selecting a digital content item and at least one configuration option associated with the item, calculating the item price using appropriate adjustment factors, and calculating the final price using a final pricing formula. Pricing information, in the form of prices, adjustment factors, and formulae may be defined in meta-data descriptors included in the digital content.

Abstract: A system for providing traffic information to a plurality of mobile users connected to a network. The system comprises a plurality of traffic monitors, each comprising at least a traffic detector and a transmitter, the traffic detector generating a signal in response to vehicular traffic and the transmitter transmitting the signal. A receiver receives the signals from the traffic monitors. A computer system is connected to the receiver and is further connected to the network. The computer system in response to a request signal received from one of the users transmits in response thereto information representative of the signals transmitted by the traffic monitoring units. Alternative systems for gathering traffic information are disclosed.

Abstract: A system and method are provided for analyzing media content and generating related metadata as it is provided to a computer. In one embodiment, the system includes an extensible analysis object managing a plurality of plug-ins for analyzing the media content and generating metadata related to the media content.

Abstract: A system and method are provided for analyzing media content and generating related metadata as it is provided to a computer. In one embodiment, the system includes at least one analysis object for analyzing the media content as it is received and generating metadata relating to said media content.

Abstract: Automatic detection of one or more segment boundaries in a video. An analysis window identifies a selected series of video frames of the video to analyze for segment boundaries. A property value is determined for each of the video frames in the series of video frames. A maximum difference of the differences of property values between adjacent frames is compared to a threshold median value and a ratio of the maximum difference to a determined mean of the differences of property values between adjacent frames is compared to an adaptive threshold value. A segment boundary is defined as a function of the comparisons.

Abstract: Managing digital video files on a computer. A media file system object stores metadata representative of a video clip defined from a video file to be managed. A shell interface associated with an operating system of the computer exposes the object to enable management of the video clip directly via the operating system.

Abstract: A computer memory product. A computer memory product having stored thereon a digital media file, the memory product comprising a computer readable memory, and a data file including at least two digital data portions; a first header object Including a TOC object containing data regarding the data file; and a second data object following the first header object containing data representing digital media wherein the TOC object is disposed between the first header object and the second data object.

Abstract: A system for providing traffic information to a plurality of mobile users connected to a network. The system comprises a plurality of traffic monitors, each comprising at least a traffic detector and a transmitter, the traffic detector generating a signal in response to vehicular traffic and the transmitter transmitting the signal. A receiver receives the signals from the traffic monitors. A computer system is connected to the receiver and is further connected to the network. The computer system in response to a request signal received from one of the users transmits in response thereto information representative of the signals transmitted by the traffic monitoring units. Alternative systems for gathering traffic information are disclosed.

Abstract: A system for providing traffic information to a plurality of mobile users connected to a network. The system comprises a plurality of traffic monitors, each comprising at least a traffic detector and a transmitter, the traffic detector generating a signal in response to vehicular traffic and the transmitter transmitting the signal. A receiver receives the signals from the traffic monitors. A computer system is connected to the receiver and is further connected to the network. The computer system in response to a request signal received from one of the users transmits in response thereto information representative of the signals transmitted by the traffic monitoring units. Alternative systems for gathering traffic information are disclosed.

Abstract: A method for characterizing an image where a number of test areas of predefined shape and size are located on the image. The color or the texture of the image over each of the test areas is quantified. The image can be characterized by statistical descriptions of the frequency distribution of color or texture of the test areas.

Abstract: A method for characterizing an image where a number of test areas of predefined shape and size are located on the image. The color or the texture of the image over each of the test areas is quantified. The image can be characterized by statistical descriptions of the frequency distribution of color or texture of the test areas.

Abstract: A system initiates an object tracking system, magnifies the image, selects an object of interest in an image, and designates the object as the target all while the object tracking system is activated. In this manner it is easier for the user of the object tracking system to select the target, especially if the target tends to be moving fast.

Abstract: A method and system is provided for detecting occurrences of semantic temporal events based on observations extracted from input data and event models. The input data is fed into the system from some data source. Based on specified event to be detected, multiple-layer models corresponding to the event are retrieved. The models are used to determine the types of temporal observations to be extracted from the input data. The extracted temporal observations are then used, in combination with the multiple-layer models of the event, to detect the occurrences of the event.

Abstract: Semantically meaningful events are detected in video with a multi-level technique. Video sequences are visually analyzed at the first level of the technique to detect shot boundaries, to measure color and texture of the content, and to detect objects in the content. At the second level of the technique, objects are classified and the content in each shot is summarized. At the third level of the technique, an event inference module infers events on the basis of temporal and spatial phenomena disclosed in the shot summaries. The technique may be extended to additional domains by incorporating additional domain related processes at the upper levels of the technique which utilize data produced at the first level of the technique by processes which are domain independent.

Abstract: A method for characterizing an image where a number of test areas of predefined shape and size are located on the image. The color or the texture of the image over each of the test areas is quantified. The image can be characterized by statistical descriptions of the frequency distribution of color or texture of the test areas.

Abstract: In one embodiment a personalization engine creates personal preference information from a user regarding a content. The personal preference information is represented in a description compatible with a content analyzer in an edge server. A content scheduler schedules delivery of the content from the edge server and uploading of the personal preference information to the edge server.