Hewlett-packard Development Company, L.p.

Compaq Information Technologies Group, L.p.

Athenahealth, Inc.

Michael Swain

Frederic Dufaux

Beth Teresa Logan

Jean-Manuel Van Thong

Robert P Nix

Nikolay Andreev

William Clayton

Michael Yun

Peter Parnassa

Lauren Fitch

Methods and apparatus for identifying and analyzing clusters of medical billing claims in a queue to identify a shared root cause issue for the medical billing claims in the cluster. Exemplary methods and apparatus involve grouping each of the plurality of medical billing claims into clusters based on predetermined cluster patterns that include at least one attribute, validating the clusters using predetermined criteria to determine if the clusters should be analyzed, discarded, and/or marked for further analysis, collecting information about each of the medical billing claims in clusters, and determining a root cause issue for the medical billing claims in the clusters based on the collected information.

Methods and apparatus for queue-based cluster analysis

A key frame representative of a sequence of frames in a video file is selected. The sequence of frames is divided into shots, sequences of frames captured by a single continuous operation of the camera, by detecting shot boundaries. Shot boundaries are detected by measuring changes in motion activity between frames using measures of pixel intensity and histogram differences between frames. The most interesting shot in the sequence of frames is selected using measures of motion activity, spatial activity, skin pixel color and shot length. The key frame is selected in the most interesting shot using measures of spatial activity and motion activity.

System for selecting a keyframe to represent a video

Disclosed is a five-step process for producing closed captions for a television program, subtitles for a movie or other uses for time-aligned transcripts. An operator transcribes the audio track while listening to the recorded material. The system helps him/her to work efficiently and produce precisely aligned captions. The first step consists of identifying the portions of the input audio that contain spoken text. Only the spoken parts are further processed by the invention system. The other parts may be used to generate non-spoken captions. The second step controls the rate of speech depending on how fast the operator types. While the operator types, the third module records the time the words were typed in. This provides a rough time alignment for the transcribed text. Then the fourth module realigns precisely the transcribed text on the audio track. A final module segments the transcribed text into captions, based on acoustic clues and natural language constraints. Further, the speech rate-control component of the system may be used in other systems where transcripts are required to be generated from spoken audio.

Efficient method for producing off-line closed captions

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Newton, MA, United States of America

Michael Swain