Abstract: The present invention provides a method and system for automatically reframing and transforming videos to different aspect ratios, such that the source video has a fixed resolution and multiple outputs of different aspect ratios are generated. The present invention automatically reframes and transforms horizontal videos into vertical, portrait, square, and/or landscape for social media distribution. The method comprises acquiring input video details; extracting audio; detecting shot change points and extracting frames; detecting salient regions; detecting text; generating and stabilizing viewports; applying genre-specific transformations and generating transformed images; recreating text; obtaining output frames; generating videos and uploading the reframed and transformed videos into cloud. The present invention helps to reframe and transform videos by maintaining the visibility of regions of interest.

Abstract: A technical solution is directed to a clock recovery apparatus for multi-level signaling on a single-lane communication interface. The apparatus can use bin-map logic to successfully recover a common clock per symbol received on the multi-level signal interface. The multi-level signal can be PAM4 signaling where two bits are encoded to represent four levels. The clock recovery apparatus can detect signal level through individual edge detectors for each of the two bits and can handle jitter up to half-clock period.

Abstract: A system (700) including a media comparison engine (MCE) (507) and a method for determining matches between frames in media assets for automating downstream media workflows are provided. For a target master frame in each boundary of master shots of a master media asset (MMA), the MCE (507) performs a comparison with each source frame from each source media asset (SMA), in an optimal search space, using computed signatures; determines matches in the optimal search space; computes a rate of information exchange (RIE) score for each match based on the signature(s) and similarity scores of each source frame in a final search space; identifies a best match based on the RIE score of each match; performs a comparison of source frames subsequent to the best matching source frame with master frames subsequent to the target master frame.

Abstract: First images that are screenshots from a first version of a software component are obtained. Second images that are screenshots from a second version are obtained. A collection of image deviations that includes pair-wise image deviations between pairs of images are identified. A pair of images includes a first image from the first images and a corresponding second image from the second images. An image deviation indicates a portion of the second image identified as differing from a spatially corresponding portion of the first image. The image deviations are grouped into deviation groups. At least some of the second images are associated with at least some of the deviation groups. A subset of the second images corresponding to a deviation group is output responsive to a selection of an indication of the deviation group.

Abstract: A system and a method for automatically identifying key dialogues in media is disclosed herein. In the method disclosed herein, the key dialogues engine receives the media asset and extract transcript data and supplementary data. The key dialogues engine processes the transcript data into a plurality of transcript data elements and associate the transcript data elements with respective data elements selected from the supplementary data.

Abstract: First images that are screenshots from a first version of a software component are obtained. Second images that are screenshots from a second version are obtained. A collection of image deviations that includes pair-wise image deviations between pairs of images are identified. A pair of images includes a first image from the first images and a corresponding second image from the second images. An image deviation indicates a portion of the second image identified as differing from a spatially corresponding portion of the first image. The image deviations are grouped into deviation groups. At least some of the second images are associated with at least some of the deviation groups. A subset of the second images corresponding to a deviation group is output responsive to a selection of an indication of the deviation group.

Abstract: A system (700) including a media comparison engine (MCE) (507) and a method for determining matches between frames in media assets for automating downstream media workflows are provided. For a target master frame in each boundary of master shots of a master media asset (MMA), the MCE (507) performs a comparison with each source frame from each source media asset (SMA), in an optimal search space, using computed signatures; determines matches in the optimal search space computers a rate of information exchange (RIE) score for each match based on the signature(s) and similarity scores of each source frame in a final search space; identifies a best match based on the RIE score of each match; performs a comparison of source frames subsequent to the best matching source frame with master frames subsequent to the target master frame.

Abstract: A system and a method for automatically identifying key dialogues in media is disclosed herein. In the method disclosed herein, the key dialogues engine receives the media asset and extract transcript data and supplementary data. The key dialogues engine processes the transcript data into a plurality of transcript data elements and associate the transcript data elements with respective data elements selected from the supplementary data.