Abstract: A video camera and a device for automatic video or audio redaction are provided herein. The device may include: an image capturing device configured to obtain an input video having a plurality of video frames; a communication interface configured to obtain descriptors of at least one prespecified object, being a visual or an acoustic object; a computer processor configured to: obtain a detected object in the video frame, being an object having descriptors similar to the descriptors of the at least one prespecified object; and generate a redacted video by removing or replacing the matched objects therefrom; and record the redacted video on a data storage device or transmit the redacted video via a video management server, wherein the computer processor is configured to generate the redacted video prior to storing the redacted video on the data storage device or transmitting the redacted video via the video management server.

Abstract: A system and a method for automatic video redaction are provided herein. The method may include: receiving, an input video comprising a sequence of frames captured by a camera, wherein the input video includes live video obtained directly from the camera, wherein recordation of the video directly from the camera is disabled; performing visual analysis of the input video, to detect portions of the frames of the input video in which one of a plurality of predefined objects or a descriptor thereof is detected; generating a redacted input video by replacing the portions of the frames with new portions of another visual content; and recording the redacted input video on a data storage device, wherein the generating of thethe redacted input video, is carried out by a computer processor, after the input video is captured by the camera and before the recording of the redacted input video on the data storage device.

Abstract: A system and a method for automatic video and/or audio redaction are provided herein. The method may include the following steps: obtaining an input video; obtaining at least one prespecified object, being a visual or an acoustic object or a descriptor thereof; analyzing the input video, to detect a matched object, being an object having descriptors similar to the descriptors of the at least one prespecified object; and generating a redacted video by removing or replacing the matched objects therefrom.

Abstract: A system and a method for visual analysis of customer interaction at a scene are provided herein. The method may include: receiving at least one video sequence comprising a sequence of frames, captured by cameras covering the scene which includes at least one staff person and at least one customer; detecting, using a computer processor, persons in the at least one video sequence; classifying, using the computer processor, the persons to at least one customer; calculating a signature for the at least one person, enabling a recognition of the at least person appearing in other frames of the video sequences; and carrying out a visual analysis, using the computer processor and based on the at least one video sequence of at least one customer interaction which is visible at the scene, to yield an indication of the interaction between the staff person and the at least one customer.

Abstract: A method and system for enhancing a speech signal is provided herein. The method may include the following steps: obtaining an original video, wherein the original video includes a sequence of original input images showing a face of at least one human speaker, and an original soundtrack synchronized with said sequence of images; and processing, using a computer processor, the original video, to yield an enhanced speech signal of said at least one human speaker, by detecting sounds that are acoustically unrelated to the speech of the at least one human speaker, based on visual data derived from the sequence of original input images.

Abstract: A system and a method for automatic video and/or audio redaction are provided herein. The method may include the following steps: obtaining an input video; obtaining at least one prespecified object, being a visual or an acoustic object or a descriptor thereof; analyzing the input video, to detect a matched object, being an object having descriptors similar to the descriptors of the at least one prespecified object; and generating a redacted video by removing or replacing the matched objects therefrom.

Abstract: A method and system for enhancing a speech signal is provided herein. The method may include the following steps: obtaining an original video, wherein the original video includes a sequence of original input images showing a face of at least one human speaker, and an original soundtrack synchronized with said sequence of images; and processing, using a computer processor, the original video, to yield an enhanced speech signal of said at least one human speaker, by detecting sounds that are acoustically unrelated to the speech of the at least one human speaker, based on visual data derived from the sequence of original input images.

Abstract: A method and system for enhancing a speech signal is provided herein. The method may include the following steps: obtaining an original video, wherein the original video includes a sequence of original input images showing a face of at least one human speaker, and an original soundtrack synchronized with said sequence of images; and processing, using a computer processor, the original video, to yield an enhanced speech signal of said at least one human speaker, by detecting sounds that are acoustically unrelated to the speech of the at least one human speaker, based on visual data derived from the sequence of original input images.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: A method and system for enhancing a speech signal is provided herein. The method may include the following steps: obtaining an original video, wherein the original video includes a sequence of original input images showing a face of at least one human speaker, and an original soundtrack synchronized with said sequence of images; and processing, using a computer processor, the original video, to yield an enhanced speech signal of said at least one human speaker, by detecting sounds that are acoustically unrelated to the speech of the at least one human speaker, based on visual data derived from the sequence of original input images.

Abstract: Method and system for producing relevance sorted video summary are provided herein. The method may include: obtaining a source video containing a plurality of source objects; receiving features descriptive of at least some of the source objects; clustering the source objects into clusters, each cluster including source objects that are similar in respect to one of the features or a combination of the features; obtaining relevance level of the clustered source objects, respectively; generating synopsis objects by sampling respective clustered source objects; and generating a synopsis video having an overall play time shorter than the overall play time of the source video by determining a play time for each of the synopsis objects based at least partially on the respective relevance level.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: Computer-implemented method, system, and techniques for summarization, searching, and indexing of video are provided, wherein data related to objects detected in the video in a selected time interval is received and the objects are clustered into clusters such that each cluster includes objects that are similar in respect to a selected feature or a combination of features. A video summary is generated based on the computed clusters.

Abstract: In a system and method for generating a synopsis video from a source video, at least three different source objects are selected according to one or more defined constraints, each source object being a connected subset of image points from at least three different frames of the source video. One or more synopsis objects are sampled from each selected source object by temporal sampling using image points derived from specified time periods. For each synopsis object a respective time for starting its display in the synopsis video is determined, and for each synopsis object and each frame a respective color transformation for displaying the synopsis object may be determined. The synopsis video is displayed by displaying selected synopsis objects at their respective time and color transformation, such that in the synopsis video at least three points that each derive from different respective times in the source video are displayed simultaneously.

Abstract: A panoramic image is generated from a sequence of input frames captured by a camera that translates relative to a scene having at least two points at different distances from the camera. A processor (13) is responsive to optical flow between corresponding points in temporally different input frames for computing flow statistics for at least portions of some of the input frames and for computing respective stitching costs between some of the portions and respective neighboring portions thereof. A selection unit (18) selects a sequence of portions and respective neighboring portions that minimizes a cost function that is a function of the flow statistics and stitching costs. A stitching unit (21) stitches the selected portions and respective neighboring portions so as to form a panoramic image of the scene, which may then be displayed or post-processed.

Abstract: A computer-implemented method and system transforms a first sequence of video frames of a first dynamic scene to a second sequence of at least two video frames depicting a second dynamic scene. A subset of video frames in the first sequence is obtained that show movement of at least one object having a plurality of pixels located at respective x, y coordinates and portions from the subset are selected that show non-spatially overlapping appearances of the at least one object in the first dynamic scene. The portions are copied from at least three different input frames to at least two successive frames of the second sequence without changing the respective x, y coordinates of the pixels in the object and such that at least one of the frames of the second sequence contains at least two portions that appear at different frames in the first sequence.

Abstract: In a system and method for generating a synopsis video from a source video, at least three different source objects are selected according to one or more defined constraints, each source object being a connected subset of image points from at least three different frames of the source video. One or more synopsis objects are sampled from each selected source object by temporal sampling using image points derived from specified time periods. For each synopsis object a respective time for starting its display in the synopsis video is determined, and for each synopsis object and each frame a respective color transformation for displaying the synopsis object may be determined. The synopsis video is displayed by displaying selected synopsis objects at their respective time and color transformation, such that in the synopsis video at least three points that each derive from different respective times in the source video are displayed simultaneously.