Abstract: A method includes determining whether a rate distortion cost of a compressed video is above a cost threshold, the compressed video being encoded using a first constant rate factor (CRF). Upon determining the quality of a compressed video is above a cost threshold calculating a second CRF based on the first CRF, and encoding a video associated with the compressed video using the second CRF. Upon determining the quality of a compressed video is below a cost threshold encoding the video using the first CRF and a target bitrate.

Abstract: Described herein are techniques related to noise reduction for image sequences or videos. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope and meaning of the claims. A noise reduction tool includes a motion estimator configured to estimated motion in the video, a noise spectrum estimator configured to estimate noise in the video, a shot detector configured to trigger the noise estimation process, a noise spectrum validator configured to validate the estimated noise spectrum, and a noise reducer to reduce noise in the video using the estimated noise spectrum.

Abstract: Adaptive video transcoding based on parallel chunked log analysis is described. The adaptive video transcoding method comprises receiving an intermediate video stream generated from an intermediate transcoding. The method also receives an intermediate transcoding log stream associated with the intermediate video stream. The method partitions the intermediate video stream into a plurality of video chunks, where each video chunk corresponding to a portion of video data of the video stream. The method further generates video chunk statistics for each of the video chunks using the intermediate transcoding log stream and transcoding parameters for each of the video chunks based on the generated video chunk statistics. The method transcodes each of the video chunks to a target format in parallel based on the generated transcoding parameters. The method assembles the transcoded video chunks into a target video stream in the target format.

Abstract: A system for video stabilization is provided. The system includes a media component, a transformation component, an offset component and a zoom component. The media component receives a video sequence including at least a first video frame and a second video frame. The transformation component calculates at least a first motion parameter associated with translational motion for the first video frame and at least a second motion parameter associated with the translational motion for the second video frame. The offset component subtracts an offset value generated as a function of a maximum motion parameter and a minimum motion parameter from the first motion parameter and the second motion parameter to generate a set of modified motion parameters. The zoom component determines a zoom value for the video sequence based at least in part on the set of modified motion parameters.

Abstract: Described herein are techniques related to noise reduction for image sequences or videos. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope and meaning of the claims. A noise reduction tool includes a motion estimator configured to estimated motion in the video, a noise spectrum estimator configured to estimate noise in the video, a shot detector configured to trigger the noise estimation process, a noise spectrum validator configured to validate the estimated noise spectrum, and a noise reducer to reduce noise in the video using the estimated noise spectrum.

Abstract: Adaptive video transcoding based on parallel chunked log analysis is described. The adaptive video transcoding method comprises receiving an intermediate video stream generated from an intermediate transcoding. The method also receives an intermediate transcoding log stream associated with the intermediate video stream. The method partitions the intermediate video stream into a plurality of video chunks, where each video chunk corresponding to a portion of video data of the video stream. The method further generates video chunk statistics for each of the video chunks using the intermediate transcoding log stream and transcoding parameters for each of the video chunks based on the generated video chunk statistics. The method transcodes each of the video chunks to a target format in parallel based on the generated transcoding parameters. The method assembles the transcoded video chunks into a target video stream in the target format.

Abstract: Described herein are techniques related to noise reduction for image sequences or videos. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope and meaning of the claims. A noise reduction tool includes a motion estimator configured to estimated motion in the video, a noise spectrum estimator configured to estimate noise in the video, a shot detector configured to trigger the noise estimation process, a noise spectrum validator configured to validate the estimated noise spectrum, and a noise reducer to reduce noise in the video using the estimated noise spectrum.

Abstract: Adaptive video transcoding based on parallel chunked log analysis is described. The adaptive video transcoding method comprises receiving an intermediate video stream generated from an intermediate transcoding. The method also receives an intermediate transcoding log stream associated with the intermediate video stream. The method partitions the intermediate video stream into a plurality of video chunks, where each video chunk corresponding to a portion of video data of the video stream. The method further generates video chunk statistics for each of the video chunks using the intermediate transcoding log stream and transcoding parameters for each of the video chunks based on the generated video chunk statistics. The method transcodes each of the video chunks to a target format in parallel based on the generated transcoding parameters. The method assembles the transcoded video chunks into a target video stream in the target format.

Abstract: A system for video stabilization is provided. The system includes a media component, a transformation component, an offset component and a zoom component. The media component receives a video sequence including at least a first video frame and a second video frame. The transformation component calculates at least a first motion parameter associated with translational motion for the first video frame and at least a second motion parameter associated with the translational motion for the second video frame. The offset component subtracts an offset value generated as a function of a maximum motion parameter and a minimum motion parameter from the first motion parameter and the second motion parameter to generate a set of modified motion parameters. The zoom component determines a zoom value for the video sequence based at least in part on the set of modified motion parameters.

Abstract: Described herein are techniques related to noise reduction for image sequences or videos. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope and meaning of the claims. A noise reduction tool includes a motion estimator configured to estimated motion in the video, a noise spectrum estimator configured to estimate noise in the video, a shot detector configured to trigger the noise estimation process, a noise spectrum validator configured to validate the estimated noise spectrum, and a noise reducer to reduce noise in the video using the estimated noise spectrum.