A camera system captures an image in a source aspect ratio and applies a transformation to the input image to scale and warp the input image to generate an output image having a target aspect ratio different than the source aspect ratio. The output image has the same field of view as the input image, maintains image resolution, and limits distortion to levels that do not substantially affect the viewing experience. In one embodiment, the output image is non-linearly warped relative to the input image such that a distortion in the output image relative to the input image is greater in a corner region of the output image than a center region of the output image.

Systems and methods for content display are disclosed. An example system may include an authentication system configured to receive a request from an application to authenticate the application, and to send an instruction to a content delivery system to provide an application programming interface (API) to the application based on authenticating the application. The content delivery system may be configured to provide the API to the application based on receiving the instruction from the authentication system, to receive a call from the application to the API to display content, and to cause the content to be displayed on a display device based on the call to the API.

Disclosed herein method and apparatus for processing image using alpha video data. The method includes: receiving color video data and alpha video data through different tracks; decoding each of the color video data and the alpha video data using a predetermined coding method; and generating final color video data in which at least a part of regions is transparently processed, by combining the decoded color video data and the decoded alpha video data.

The disclosed computer-implemented method may include receiving, as an input, segmented video scenes, where each video scene includes a specified length of video content. The method may further include scanning the video scenes to identify objects within the video scene and also determining a relative importance value for the identified objects. The relative importance value may include an indication of which objects are to be included in a cropped version of the video scene. The method may also include generating a video crop that is to be applied to the video scene such that the resulting cropped version of the video scene includes those identified objects that are to be included based on the relative importance value. The method may also include applying the generated video crop to the video scene to produce the cropped version of the video scene. Various other methods, systems, and computer-readable media are also disclosed.

Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.

One embodiment of the present invention sets forth a technique for dynamically cropping image data transmitted to an endpoint device. The technique includes computing a first visual interest score for a first visual interest region within a digital image based on content included in the first visual interest region, computing a second visual interest score for a second visual interest region within the digital image based on content included in the second visual interest region, and determining that the first visual interest region is preferred over the second visual interest region based on the first visual interest score and the second visual interest score. The technique further includes setting a location within the first visual interest region as a point of visual interest and transmitting the digital image and the location of the point of visual interest to a computing device for displaying a portion of the digital image that includes the point of visual interest.

One embodiment of the present invention sets forth a technique for dynamically cropping image data transmitted to an endpoint device. The technique includes computing a first visual interest score for a first visual interest region within a digital image based on content included in the first visual interest region, computing a second visual interest score for a second visual interest region within the digital image based on content included in the second visual interest region, and determining that the first visual interest region is preferred over the second visual interest region based on the first visual interest score and the second visual interest score. The technique further includes setting a location within the first visual interest region as a point of visual interest and transmitting the digital image and the location of the point of visual interest to a computing device for displaying a portion of the digital image that includes the point of visual interest.

Scenes in video images are identified based on image content of the video images. Regional cross sections of the video images are determined based on the scenes in the video images. Image portions of the video images in the regional cross sections are encoded into multiple video sub-streams at multiple different spatiotemporal resolutions. An overall video stream that includes the multiple video sub-streams is transmitted to a streaming client device.

Techniques are disclosed for recognizing aspect ratio errors in image frames of a video and reporting the same. An aspect ratio checker application receives a video that includes multiple image frames and identifies aspect ratio changes in those image frames using a first differential of a time series that includes determined positions of the top, bottom, left, and right of content regions within the image frames. In particular, the aspect ratio checker may identify aspect ratio changes based on non-zero points of the first differential, and the aspect ratio checker further determines aspect ratios of content regions within image frames corresponding to the non-zero points of the first differential. In addition, the aspect ratio checker may generate and display a report indicating the determined aspect ratios and image frame ranges associated with those aspect ratios.

The present disclosure provides systems and methods for video content security and for detecting and preventing unauthorized playback. According to an exemplary method, a device performing a video playback can acquire a set of video frames from a decoder during the video playback, and generate, based on the set of video frames, a first video identifier. The first video identifier can be sent to a server. In response to the server determining that the first video identifier matches a second video identifier stored in the server, the device can receive a list of authorized playback sources associated with the second video identifier. The device can determine whether a source of the video playback is included in the list of authorized playback sources, and control the video playback based on the determination.