Abstract: Photo or video content of a person is acquired (401). A dimension of at least one iris of a person such as radius of the iris is measured (405, 411). A dimension of the face of the person, such as width of the face, is measured. The person is then classified (413) as an adult or child on the basis of a ratio of the dimension of the face and the dimension of the iris.

Abstract: A method of automatically identifying the microarray chip corners and probes, even if there are no probes at the corners, in a high density and high resolution microarray scanned image having an image space, wherein the method minimizes the error distortions in the image arising in the scanning process by applying to the image a multipass corner finding algorithm comprising: (a) applying a Radon transform to an input microarray image to project the image into an angle and distance space where it is possible to find the orientation of the straight lines; (b) applying a fast Fourier transform to the projected image of (a) to find the optimal tilting angle of the projected image; (c) determining the optimal first and last local maxima for the optimal tilting angle; (d) back projecting the determined first and last local maxima to the image space to find the first approximation of the first and last column lines of the image; (e) rotating the image and repeating steps (a) through (d) to find the first approximati

Abstract: A method and apparatus are provided for segmenting and summarizing a music video (507) in a multimedia stream (505) using content analysis. A music video (507) is segmented in a multimedia stream (505) by evaluating a plurality of content features that are related to the multimedia stream. The plurality of content features includes at least two of a face presence feature; a videotext presence feature; a color histogram feature; an audio feature, a camera cut feature; and an analysis of key words obtained from a transcript of the at least one music video. The plurality of content features are processed using a pattern recognition engine (1000), such as a Bayesian Belief Network, or one or more video segmentation rules (1115) to identify the music video (507) in the multimedia stream (505). A chorus is detected in at least one music video (507) using a transcript (T) of the music video (507) based upon a repetition of words in the transcript.

Abstract: A method of creating a collection (300) of relevant video segments (302-314) by selecting respective portions (202-214) from a video stream (200) which corresponds to a video program is disclosed. The collection (300) of relevant video segments (302-314) can be applied as video trailer or as video abstract. Hence the duration of the collection of relevant video segments is relatively short compared with the duration of the video program. The method comprises retrieving a further collection (201) of relevant images (222-234) corresponding to the video program; selecting a first video image from the video stream on basis of a comparison which is based on a first one of the relevant images (222) of the further collection (201) and the first video image; and creating a first one (302) of the relevant video segments (302-314) on basis of the selected first video image.

Abstract: Optimizing example-based computer-aided diagnosis (CADx) is accomplished by clustering volumes-of-interest (VOIs) (116) in a database (120) into respective clusters according to subjective assessment of similarity (S220). An optimal set of volume-of-interest (VOI) features is then selected for fetching examples such that objective assessment of similarity, based on the selected features, clusters, in a feature space, the database VOIs so as to conform to the subjectively-based clustering (S230). The fetched examples are displayed alongside the VOI to be diagnosed for comparison by the clinician. Preferably, the displayed example is user-selectable for further display of prognosis, therapy information, follow up information, current status, and/or clinical information retrieved from an electronic medical record (S260).

Abstract: The invention relates to a method of enabling to represent content items, the method comprising a step of obtaining a plurality of content item summary data of a respective one of the content items. The invention also relates to a device (210) for enabling to represent content items. The method comprises steps of—(HO) obtaining a plurality of content item summary data of a respective one of the content items, (130) determining a rating of each content item summary data, (140) selecting, from the plurality of the content item summary data, at least one further content item summary data on the basis of the respective rating, and—(150) enabling to generate meta summary data including the at least one further content item summary data.

Abstract: A portion 301-303 of a content stream 300 for a program is automatically summarized using a summarization function mapping the program to a new segment space and depending upon whether the content portion is a beginning, intermediate, or ending portion of the content stream 300. The summary generated also depends on the duration of the summarized segment, the selected length of the summary, program type (live broadcast or replay from storage), genre, and personalized user profile information. A full summary of the entire program, if available, may be employed in generating the content portion summary. Automatic video content analysis, together with analysis of subtitles or ancillary information sources, if either is available, may be employed to generate the summary.

Abstract: The present invention enables combining personal media content and additional content with the purpose of generating a more appealing and engaging experience to the user when being presented the personal media content. The invention therefore relates to a method and a device for generating a multimedia presentation, comprising obtaining a user selection of a first media file (step 202), obtaining a user selection of a media file source (step 208), matching content associated data of the first media file, with content associated data of at least one second media file from the media file source (step 214), generating at least one user inquiry related to the content associated data of at least the first media file (step 216), and creating the multimedia presentation, based on the first media file and the at least one second media file, said multimedia presentation comprising the at least one generated user inquiry (step 218).

Abstract: Method and device for providing a summary of a plurality of images, e.g. a video sequence. The method includes dividing the video sequence into a plurality of segments. The segments are analyzed with respect to content and a set of content descriptors are associated to the segments. Preferably, additional textual information about the segments, screenplay etc., is used to determine the content descriptors. A graph representing relations between the segments is constructed indicating relations between segments. Weights are associated to the relations so as to represent a measure of relation, e.g. a logical correlation, between segments. The weights are based on the calculated content descriptors. A relevance measure for a segment is determined based on all weights associated with relations to said segment. Finally, a summary is generated by selecting the most relevant segments.

Abstract: A content maintenance system uses a time-dependent precipitation function for iteratively augmenting or removing content over time, after an initial demonstration of user interest. A plurality of parallel precipitation processes can be launched simultaneously in response to different facets of a user expression of interest. Precipitation is dependent on highlighting or extracting segment descriptors from content of interest to the user. Then segments are filtered, rated, annotated and/or prioritized from that content. The remaining segments are matched against stored search structures. When the segments match, they are precipitated out for storage and can generate new search structures.

Abstract: This invention relates to a method and computer system for automatic generation of trailers. More specifically it relates to a method for generating revenues from providers of content data. The method generally comprises the steps of finding product placement data in a super set of data. When these product placements have been found they are preferably matched with a user profile and segments, of the superset comprising these product placements with a positive match, are selected and merged into a subset of data. A counter may keep track of which product placement that has been chosen and how many times a product placement has been chosen and viewed. Based on the value of the counter an invoice is created.

Abstract: A method and system characterizes (220) individual news stories and identifies (230) a common news story among a variety of stories based on this characterization. A composite story is created (240-280) for the common news story, preferably using a structure that is based on a common structure of the different versions of the story. The selection of video segments (110) from the different versions of the story for inclusion in the composite story is based on determined rankings (260, 270) of the video and audio content of the video segments (110).

Abstract: A recommendation system is disclosed that generates recommendations for one or more items based on user preferences and one or more environmental factors. The user's preferences are learned under various environmental conditions using an environmental data collection system. The observed environmental conditions may include, for example, location, characteristics of the location, weather or characteristics of the user's motion, such as a rate of movement. For each positive and negative behavioral example, a number of attributes of the selected item are classified in the user profile together with the prevailing environmental conditions. When recommending an item, the disclosed recommender retrieves the user preferences and evaluates the current environmental conditions. A recommendation score can be generated for each available item based on the user's demonstrated preferences under similar environmental conditions, such as in the same or a similar geographic area or under similar weather conditions.

Abstract: Summarization of audio and/or visual data based on clustering of object type features is disclosed. Summaries of video, audio and/or audiovisual data may be provided without any need of knowledge about the true identity of the objects that are present in the data. In one embodiment of the invention are video summaries of movies provided. The summarization comprising the steps of inputting audio and/or visual data, locating an object in a frame of the data, such as locating a face of an actor, extracting type features of the located object in the frame. The extraction of type features is done for a plurality of frames and similar type features are grouped together in individual clusters, each cluster being linked to an identity of the object. After the processing of the video content, the largest clusters correspond to the most important persons in the video.

Abstract: A system and method augments a recorded lecture (110) based on the importance of the material and/or based on a student's needs. The importance of each segment of the lecture material (110) is based at least in part on questions from prior exams (120), and the student's needs are based at least in part on the student's performance (130) on prior exams. The method (410-440) of presenting the augmented material to the student may also be customized based on the student's learning style.

Abstract: A method for optimizing the performance of an algorithm for detecting predetermined content in a media information stream, and a program and apparatus that operate in accordance with the method. The algorithm is a function of a set of parameters. The method comprises the steps of performing the algorithm at least once to detect the predetermined content in the media information stream, while employing a respective set of parameters in the algorithm for each performance thereof, and automatically evolving at least one respective set of parameters employed in the algorithm to maximize the degree of accuracy at which the algorithm detects the predetermined content in the media information stream.

Abstract: An apparatus and method are provided to recover the high level structure of a program, such as a television or video program using an unsupervised clustering algorithm in concert with a human analyst. The method is comprised of three phases, a first phase, referred to herein as a text type clustering phase, a second phase of genre/sub-genre identification phase in which the genre/sub-genre type of a target program is detected and a third and final phase, referred to herein as a structure recovery phase. The structure recovery phase relies on graphical models to represent program structure. The high level structure of a program, once recovered, may be advantageously used in a recover further information including, but not limited to, temporal events, text events, program events and the like.

Abstract: The present invention provides a method of detecting segment boundaries for a series of successive frames in a video sequence. The method includes the steps of acquiring color information from each frame, determining a color histogram for each frame, and applying a boundary detection technique utilizing the color histograms. Finally, the method includes segmenting the frames of the video sequence into uniform color segments. In addition, a system is provided for detecting segment boundaries for a series of successive frames in a video sequence. The system includes means for acquiring color information from each frame, means for determining a color histogram for each frame, and means for applying a boundary detection technique utilizing the color histograms. Finally, the system includes means for segmenting the frames of the video sequence into uniform color segments.

Abstract: Techniques are disclosed for detecting commercials or other particular types of video content in a video signal. In an illustrative embodiment, color histograms are extracted from frames of the video signal. For each of at least a subset of the extracted color histograms, the extracted color histogram is compared to a family histogram. If the extracted color histogram falls within a specified range of the family histogram, the family histogram is updated to include the extracted color histogram as a new member. If the extracted color histogram does not fall within the specified range of the family histogram, the family histogram is considered complete and the extracted color histogram is utilized to generate a new family histogram for use in processing subsequent extracted color histograms. The resulting family histograms are utilized to detect commercials or other particular type of video content in the video signal.

Abstract: A method, apparatus and systems for bookmarking an area of interest of stored video content is provided. As a viewer is watching a video and finds an area of interest, they can bookmark the particular segment of the video and then return to that segment with relative simplicity. This can be accomplished by pressing a button, clicking with a mouse or otherwise sending a signal to a device for marking a particular location of the video that is of interest. Frame identifiers can also be used to select a desired video from an index and to then retrieve the video from a medium containing multiple videos.