Abstract: A method for improvement of the consistency of color and brightness across boundaries of multicamera and/or multidisplayed overlapping or near overlapping composite images, reduction of objectionable artifacts at overlapping image seams of composite images, adjustment of color and brightness/intensity on either side of overlapping image seams, application of color correction across a composite image, reduction of color and intensity mismatches of composite images, gradual change of color across image seams of a composite image, including altering color outside of overlap regions is provided so that the seams are less discernible and to avoid sharp color changes across a composite or mosaic image are reduced or avoided.

Abstract: A system, method and apparatus for remotely annotating an object. An embodiment of the present invention includes a video camera projector that captures video images of a local object and projects annotations made by a user at a remote location onto said local object.

Abstract: A method and apparatus analyzes and annotates a technical talk typically illustrated with overhead slides, wherein the slides are recorded in a video sequence. The video sequence is condensed and digested into key video frames adaptable for annotation to time and audio sequence. The system comprises a recorder for recording a technical talk as a sequential set of video image frames. A stabilizing processor segregates the video image frames into a plurality of associated subsets each corresponding to a distinct slide displayed at the talk and for median filtering of the subsets for generating a key frame representative of each of the subsets. A comparator compares the key frame with the associated subsets to identify differences between the key frame and the associates subset which comprise nuisances and affordances. A gesture recognizer locates, tracks and recognizes gestures occurring in the subset as gesture affordances and identifies a gesture video frame representative of the gesture affordance.

Abstract: Systems and methods generate a video for virtual reality wherein the video is both panoramic and spatially indexed. In embodiments, a video system includes a controller, a database including spatial data, and a user interface in which a video is rendered in response to a specified action. The video includes a plurality of images retrieved from the database. Each of the images is panoramic and spatially indexed in accordance with a predetermined position along a virtual path in a virtual environment.

Abstract: A method for creating multimedia meeting minutes is disclosed. In an embodiment, the method receives notations from a user. As each notation is received, context information is recorded with the notation. The context information is used to select pertinent portions of multimedia information received concurrently with the notations. An association is then created between the notation and each selected portion of the multimedia information. These associations may be used to access the selected portions of the multimedia information from the notations. The notations and their respective associations are deposited for future retrieval. The deposited notations may be revised by receiving an altered copy of the notations from a user. The deposited notations are modified in accordance with the altered copy.

Abstract: A system for controlling the playback of a recorded session. Timestream and event information for the session is captured by one or more recording devices. Playback of a session is performed under the control of a session access device. A session access device utilizes event information to create a user interface for controlling session replay. In the present invention, two windows are used in a coherent and synergistic fashion. A first window functions as a player for playing back a timestream for the electronic whiteboard is also used for controlling playback of the session. A second window functions as a playback controller utilizing a timeline metaphor. Various interactions in one window will cause a resulting change in the other window. For example, selecting a marking in the first window may cause all related events to be displayed on the timeline of the second window. This coherency enables a user to more clearly pinpoint points in the session that would contain information of interest.

Abstract: A system for the capture and playback of temporal data representing a collaborative activity such as a meeting. Such temporal data is captured by one or more capture devices (e.g. audio recordings or an electronic whiteboard). Temporal data is comprised of timestreams and events. Timestreams are sets of timestamped data which represent some recordable aspect of the meeting. Events are contained within a timestream that represent natural activities that occurred during the course of the session. Events are used to create indices which provide direct access to a point or span in time during the collaborative activity. Playback of a session is performed under the control of a session access device. Coupled to the session access device are a plurality of players for playing back timestreams. The session access device utilizes event information to create a user interface for controlling session replay. The user interface is comprised of a plurality of windows.

Abstract: A system for capturing and controlling access to concurrently recorded timestreams of a session. A session is of a collaborative activity such as a meeting. Timestreams of the session are captured by various recording devices. The timestreams are analyzed to create a set of events for each timestream. An event is subsequently used as an index for replaying the session. Playback of the timestreams is done in order to recall dialogs or other events that occurred during the meeting. The timestreams are played back contemporaneously. A timeline interface having the events mapped thereon is used to traverse through the different portions of the session.

Abstract: A system and method for unsupervised clustering of audio data segments in an audio data recording containing speech from multiple speakers including the steps of: 1) providing a portion of the audio data containing speech from all of the speakers; 2) forming initial clusters by dividing the portion of the audio data into segments, each of which includes an ordered data set; 3) computing the pairwise distance between each pair of clusters using a likelihood ration independent of the order of data within the segments; and 4) combining into a new cluster the two clusters with a minimum pairwise distance. These steps are repeated until a number of clusters equal to the number of speakers is obtained.

Abstract: A method for segmenting audio data, comprising speech from a plurality of individual speakers, according to speaker is provided. The method comprises providing individual HMMs for each individual speaker, each individual HMM including at least one state, and constructing a speaker network HMM by connecting the individual HMMs in parallel. The audio data is then divided into segments by determining a most likely sequence of states through the speaker network HMM, each of the segments being associated with one of the individual HMMs. Afterward, the speaker of each of the segments is identified. The segmented data may be used to form an index into the audio data according to speaker.

Abstract: A processor controlled system for correlating an electronic index according to speaker for audio data being recorded in real time. The system includes a source of training data for each of the plurality of individual speakers and audio input system for providing real time audio data including speech for the individual speakers. The audio data is converted into spectral feature data by an audio processor, and is simultaneously recorded on a storage medium by a recording device. A system processor accepts the training data to create individual speaker models, which are combined in parallel to form a speaker network. The system processor then accepts the spectral feature data of the audio data and, using the speaker network, determines segments in the audio data corresponding to each speaker.

Abstract: A method for clustering speaker data from a plurality of unknown speakers. The method includes steps of providing a portion of audio data containing speech from at least all the speakers in the audio data and dividing the portion into data clusters. A pairwise distance between each pair of clusters is computed, the pairwise distance being based on a likelihood that two clusters were created by the same speaker, the likelihood measurement being biased by the prior probability of speaker changes. The two clusters with a minimum pairwise distance are combined into a new cluster and speakers models are trained for each of the remaining clusters including the new cluster. The likelihood that two clusters were created by the same speaker may be biased by a Markov duration model based on speaker changes over the length of the initial data clusters.