Abstract: Video recordings of meetings and scanned paper documents are natural digital documents that come out of a meeting. These can be placed on the Internet for easy access, with links generated between them by matching scanned documents to a segment of the video referencing the scanned document. Furthermore, annotations made on the paper documents during the meeting can be extracted and used as indexes to the video. An orthonormal transform, such as a Digital Cosine Transform (DCT) is used to compare scanned documents to video frames.

Abstract: A method, system, and apparatus for easily creating a video collage from a video is provided. By segmenting the video into a set number of video segments and providing an interface for a user to select images which represent the video segments and insert the selected images into a video collage template, a video collage may be easily created in a short amount of time. The system is designed to assign values to the video inserted in a video collage and compact the video based on these values thereby creating a small file which may be easily stored or transmitted.

Abstract: Video recordings of meetings and scanned paper documents are natural digital documents that come out of a meeting. These can be placed on the Internet for easy access, with links generated between them by matching scanned documents to a segment of the video referencing the scanned document. Furthermore, annotations made on the paper documents during the meeting can be extracted and used as indexes to the video. An orthonormal transform, such as a Digital Cosine Transform (DCT) is used to compare scanned documents to video frames.

Abstract: A heuristically derived unsuitability score is computed and used as an input for metaphorical springs in which each selected video segment from recorded video of a video camera is associated with a metaphorical spring that maintains the selected segment at an optimal length while being responsive to a global system spring whose spring strength determines a final length of a final edited output video. Accordingly, user-specified changes to the final length of the final output video automatically lengthen or shorten the lengths of individual segments in such a way that high quality video segments having low unsuitability scores are emphasized over low quality video segments having high unsuitability scores.

Abstract: A method for candidate frame selection involves sampling the source frames of the source video at a predetermined fixed periodic interval. The largest frame differences represent candidate boundaries, and the frames before and after the N/2 largest candidate boundaries are selected as candidate frames. A method for selecting keyframes involves clustering all candidate frames into a hierarchical binary tree using a hierarchical agglomerative clustering algorithm. Optionally, the pairwise distances for the members of the two clusters is modified according to class membership of the members, which is preferably determined statistically from image class statistical models. A method for selecting M clusters from which keyframes are extracted involves splitting the M-1 largest clusters of a hierarchical binary tree of clusters. Optionally, clusters not having at least one uninterrupted sequence of frames of at least a minimum duration are filtered out.

Abstract: The present invention analyzes recorded video from a video camera to identify camera and object motion in the recorded video. Keyframes representative of clips of the recorded video are displayed on a user interface that allows a user to manipulate an order of the keyframes. Editing rules are then applied to the keyframes to intelligently splice together portions of the representative clips into a final output video.

Abstract: A method, system, and apparatus for easily creating a video collage from a video is provided. By segmenting the video into a set number of video segments and providing an interface for a user to select images which represent the video segments and insert the selected images into a video collage template, a video collage may be easily created in a short amount of time. The system is designed to assign values to the video inserted in a video collage and compact the video based on these values thereby creating a small file which may be easily stored or transmitted.

Abstract: A media browser, graphical user interface and method for browsing a media file wherein a user selects at least one feature in a media file and is provided with information regarding the existence of the selected feature in the media file. Based on the information, the user can identify and playback portions of interest in a media file. Features in a media file, such as a speaker's identity, applause, silence, motion, or video cuts, are preferably automatically time-wise evaluated in the media file using known methods. Metadata generated based on the time-wise feature evaluation are preferably mapped to confidence score values that represent a probability of a corresponding feature's existence in the media file. Confidence score information is preferably presented graphically to a user as part of a graphical user interface, and is used to interactively browse the media file.

Abstract: Detection of video shot boundaries using a Video Segmenting Hidden Markov Model to model the sequence of states of a video. The Video Segmenting Hidden Markov Model determines the state sequence based on feature values. Using Hidden Markov Model techniques allows for automatic learning and use of multiple features including motion vectors, audio differences and histogram differences, without the need for manual adjustments of these thresholds.