Abstract:
A method of digitally adding the appearance of makeup to a videoconferencing participant. The system and method for applying digital make-up operates in a loop processing sequential video frames. For each input frame, there are typically three general steps: 1) Locating the face and eye and mouth regions; 2) Applying digital make-up to the face, preferably with the exception of the eye and open mouth areas; and 3) Blending the make-up region with the rest of the face. In one embodiment of the invention, the background in the frame containing a video conferencing participant can also be modified so that other video conferencing participants cannot clearly see the background behind the participant in the image frame. In one such embodiment of the invention, the video conferencing participant tries to make his or her own image look comical or altered. In another embodiment of the invention, a particular remote participant tries to make another participant look funny to the other participants.
Abstract:
Automatic detection and tracking of multiple individuals includes receiving a frame of video and/or audio content and identifying a candidate area for a new face region in the frame. One or more hierarchical verification levels are used to verify whether a human face is in the candidate area, and an indication made that the candidate area includes a face if the one or more hierarchical verification levels verify that a human face is in the candidate area. A plurality of audio and/or video cues are used to track each verified face in the video content from frame to frame.
Abstract:
A program distribution system includes a plurality of set-top boxes that receive broadcast programming and segmentation data from content and information providers. The segmentation information indicates portions of programs that are to be included in skimmed or condensed versions of the received programming, and is produced using manual or automated methods. Automated methods include the use of ancillary production data to detect the most important parts of a program. A user interface allows a user to control time scale modification and skimming during playback, and also allows the user to easily browse to different points within the current program.
Abstract:
Automatic detection and tracking of multiple individuals includes receiving a frame of video and/or audio content and identifying a candidate area for a new face region in the frame. One or more hierarchical verification levels are used to verify whether a human face is in the candidate area, and an indication made that the candidate area includes a face if the one or more hierarchical verification levels verify that a human face is in the candidate area. A plurality of audio and/or video cues are used to track each verified face in the video content from frame to frame.
Abstract:
A system and process is described for estimating the location of a speaker using signals output by a microphone array characterized by multiple pairs of audio sensors. The location of a speaker is estimated by first determining whether the signal data contains human speech components and filtering out noise attributable to stationary sources. The location of the person speaking is then estimated using a time-delay-of-arrival based SSL technique on those parts of the data determined to contain human speech components. A consensus location for the speaker is computed from the individual location estimates associated with each pair of microphone array audio sensors taking into consideration the uncertainty of each estimate. A final consensus location is also computed from the individual consensus locations computed over a prescribed number of sampling periods using a temporal filtering technique.
Abstract:
An event-based system and process for recording and playback of collaborative electronic presentations is presented. The present system and process includes a technique for recording collaborative electronic presentations by capturing and storing the interactions between each participant and presentation data where each interaction event is timestamped and linked to a data file comprising the presentation data. The present system and process also includes a technique for playing back the recorded collaborative electronic presentation, which involves displaying the presentation data in an order it was originally presented and reproducing the recorded interactions between each participant and the displayed presentation data at the same point in the presentation that they were originally performed, based on the aforementioned timestamps.
Abstract:
A system and process for tracking an object state over time using particle filter sensor fusion and a plurality of logical sensor modules is presented. This new fusion framework combines both the bottom-up and top-down approaches to sensor fusion to probabilistically fuse multiple sensing modalities. At the lower level, individual vision and audio trackers can be designed to generate effective proposals for the fuser. At the higher level, the fuser performs reliable tracking by verifying hypotheses over multiple likelihood models from multiple cues. Different from the traditional fusion algorithms, the present framework is a closed-loop system where the fuser and trackers coordinate their tracking information. Furthermore, to handle non-stationary situations, the present framework evaluates the performance of the individual trackers and dynamically updates their object states. A real-time speaker tracking system based on the proposed framework is feasible by fusing object contour, color and sound source location.
Abstract:
A system and process for finding the location of a sound source using direct approaches having weighting factors that mitigate the effect of both correlated and reverberation noise is presented. When more than two microphones are used, the traditional time-delay-of-arrival (TDOA) based sound source localization (SSL) approach involves two steps. The first step computes TDOA for each microphone pair, and the second step combines these estimates. This two-step process discards relevant information in the first step, thus degrading the SSL accuracy and robustness. In the present invention, direct, one-step, approaches are employed. Namely, a one-step TDOA SSL approach and a steered beam (SB) SSL approach are employed. Each of these approaches provides an accuracy and robustness not available with the traditional two-step approaches.
Abstract:
A “virtual video studio”, as described herein, provides a highly portable real-time capability to automatically capture, record, and edit a plurality of video streams of a presentation, such as, for example, a speech, lecture, seminar, classroom instruction, talk-show, teleconference, etc., along with any accompanying exhibits, such as a corresponding slide presentation, using a suite of one or more unmanned cameras controlled by a set of videography rules. The resulting video output may then either be stored for later use, or broadcast in real-time to a remote audience. This real-time capability is achieved by using an abstraction of “virtual cameramen” and physical cameras in combination with a scriptable interface to the aforementioned videography rules for capturing and editing the recorded video to create a composite video of the presentation in real-time under the control of a “virtual director.”
Abstract:
A system and process for estimating the time delay of arrival (TDOA) between a pair of audio sensors of a microphone array is presented. Generally, a generalized cross-correlation (GCC) technique is employed. However, this technique is improved to include provisions for both reducing the influence (including interference) from correlated ambient noise and reverberation noise in the sensor signals prior to computing the TDOA estimate. Two unique correlated ambient noise reduction procedures are also proposed. One involves the application of Wiener filtering, and the other a combination of Wiener filtering with a Gnn subtraction technique. In addition, two unique reverberation noise reduction procedures are proposed. Both involve applying a weighting factor to the signals prior to computing the TDOA which combines the effects of a traditional maximum likelihood (TML) weighting function and a phase transformation (PHAT) weighting function.