Abstract: The present disclosure refers to methods and apparatuses for processing of high-resolution video content. In an embodiment, a method includes generating a first group of video frames from the video content. The first group of video frames has a first resolution lower than a resolution of the video content and a first rate-distortion score. The method further includes generating a second group of video frames from the video content. The second group of video frames has a second resolution lower than the resolution of the video content and a second rate-distortion score. The method further includes selecting an optimal group of video frames from the first and second groups of video frames based on a comparison between the first and second rate-distortion scores. The optimal group of video frames has a rate-distortion score lower than the first and the second rate-distortion scores.

Abstract: A method may comprise detecting at least one motion of the electronic device while capturing a plurality of media frames, determining a type of the at least one motion of the electronic device while capturing the plurality of media frames, determining a variation in the type of the at least one motion of the electronic device over a pre-determined period of time, selecting at least one stabilization procedure from a plurality of stabilization procedures and a frame fusion procedure from a plurality of frame fusion procedures based on the type of the at least one motion of the electronic device and the variation in the type of the at least one motion of the electronic device, and stabilizing, after the capturing of the plurality of media frames, the plurality of media frames based on the at least one selected stabilization procedure and the selected frame fusion procedure.

Abstract: A method for lightweight image restoration is provided. The method includes receiving an input image of a scene captured at a pre-defined zoom level by an imaging sensor of the electronic device; inputting the input image into a naturalness restoration model to obtain a naturalness restored image and restored natural characteristics of the scene; inputting the input image into a texture enhancement model to obtain a texture enhanced image and enhanced texture characteristics of the scene; inputting the restored natural characteristics of the scene, the enhanced texture characteristics of the scene, and the input image into an image restoration model to obtain an intermediate enhanced image corresponding to the input image; and generating, using a fusion unit, an output image that is an enhanced version of the input image based on the intermediate enhanced image, the naturalness restored image, and the texture enhanced image.

Abstract: A method may comprise detecting at least one motion of the electronic device while capturing a plurality of media frames, determining a type of the at least one motion of the electronic device while capturing the plurality of media frames, determining a variation in the type of the at least one motion of the electronic device over a pre-determined period of time, selecting at least one stabilization procedure from a plurality of stabilization procedures and a frame fusion procedure from a plurality of frame fusion procedures based on the type of the at least one motion of the electronic device and the variation in the type of the at least one motion of the electronic device, and stabilizing, after the capturing of the plurality of media frames, the plurality of media frames based on the at least one selected stabilization procedure and the selected frame fusion procedure.

Abstract: The disclosure relates to method and system for on-device inference in a deep neural network (DNN). The method comprises: determining whether one or more layers of the DNN satisfy one of a first, a second and a third condition, the one or more layers including one or more convolution layers and one or more resampling layers; performing the on-device inference based on the determination, wherein performing the on-device inference comprises at least one of: optimizing the one or more convolution layers in the one or more parallel branches based on the one or more layers of the DNN satisfying the first condition, optimizing the at least one of the resampling layers based on the one or more layers of the DNN satisfying the second condition, and modifying operation of the at least one of the resampling layers based on the one or more layers of the DNN satisfying the third condition.

Abstract: The present disclosure refers to methods and apparatuses for processing of high-resolution video content. In an embodiment, a method includes generating a first group of video frames from the video content. The first group of video frames has a first resolution lower than a resolution of the video content and a first rate-distortion score. The method further includes generating a second group of video frames from the video content. The second group of video frames has a second resolution lower than the resolution of the video content and a second rate-distortion score. The method further includes selecting an optimal group of video frames from the first and second groups of video frames based on a comparison between the first and second rate-distortion scores. The optimal group of video frames has a rate-distortion score lower than the first and the second rate-distortion scores.

Abstract: A method for of playing an animation image, the method including: obtaining a plurality of images; displaying a first image of the plurality of images; detecting a first event as a trigger to play the animation image for a first object of the first image; and playing the animation image for the first object using the plurality of images.

Abstract: A device and a method for capturing media by using a device including a plurality of flaps are provided. At least two flaps among the plurality of flaps each include at least one camera. The method includes analyzing preview images of the cameras based on a first media capture mode, adjusting a bend angle between the at least two flaps based on the analysis of the preview images to determine at least one baseline distance, and obtaining at least one media in the first capture mode at the at least one baseline distance.

Abstract: A method for of playing an animation image, the method including: obtaining a plurality of images; displaying a first image of the plurality of images; detecting a first event as a trigger to play the animation image for a first object of the first image; and playing the animation image for the first object using the plurality of images.

Abstract: A method for of playing an animation image, the method including: obtaining a plurality of images; displaying a first image of the plurality of images; detecting a first event as a trigger to play the animation image for a first object of the first image; and playing the animation image for the first object using the plurality of images.

Abstract: A device and a method for capturing media by using a device including a plurality of flaps are provided. At least two flaps among the plurality of flaps each include at least one camera. The method includes analyzing preview images of the cameras based on a first media capture mode, adjusting a bend angle between the at least two flaps based on the analysis of the preview images to determine at least one baseline distance, and obtaining at least one media in the first capture mode at the at least one baseline distance.

Abstract: A method for of playing an animation image, the method including: obtaining a plurality of images; displaying a first image of the plurality of images; detecting a first event as a trigger to play the animation image for a first object of the first image; and playing the animation image for the first object using the plurality of images.

Abstract: A method for of playing an animation image, the method including: obtaining a plurality of images; displaying a first image of the plurality of images; detecting a first event as a trigger to play the animation image for a first object of the first image; and playing the animation image for the first object using the plurality of images.

Abstract: A method for of playing an animation image, the method including: obtaining a plurality of images; displaying a first image of the plurality of images; detecting a first event as a trigger to play the animation image for a first object of the first image; and playing the animation image for the first object using the plurality of images.