Abstract: A solder composition includes a solder paste including a tin (Sn)-bismuth (Bi) alloy and/or a tin (Sn)-silver (Ag)-copper (Cu) alloy and a plurality of nanoparticles dispersed in the solder paste, wherein each of the nanoparticles includes a core that is spherical, the core includes a metal oxide, and the metal oxide has a density of 7 g/cm3 or more and a melting point of 2000° C. or higher.

Abstract: Disclosed is an apparatus for generating a cross-edited video and a method of operating the apparatus. The method includes: obtaining a plurality of videos; sequentially generating video pieces such that one of the plurality of videos is played according to a timeline, based on a first transition reward that is based on a similarity between a video before a transition and a video after the transition in a specific frame and a continuous play time and on a second transition reward that is based on an elapsed time from a previous transition point; and generating a cross-edited video by connecting the video pieces.

Abstract: Provided is a method of framing a three dimensional (3D) target object for generation of a virtual camera layout. The method may include analyzing a reference video image to extract a framing rule for at least one reference object in the reference video image, generating a framing rule for at least one 3D target object using the framing rule for the at least one reference object in the reference video image, and using the framing rule for the at least one 3D target object for generation of a virtual camera layout.

Abstract: Provided is a method of framing a three dimensional (3D) target object for generation of a virtual camera layout. The method may include analyzing a reference video image to extract a framing rule for at least one reference object in the reference video image, generating a framing rule for at least one 3D target object using the framing rule for the at least one reference object in the reference video image, and using the framing rule for the at least one 3D target object for generation of a virtual camera layout.

Abstract: Disclosed are a method and apparatus for processing an image based on an artificial neural network. The method separates an input image into a foreground image including a subject and a background image including remaining objects except for the subject, estimates camera framing for the subject based on the input image and the foreground image, configures a feature vector based on an optical flow map extracted from the input image, estimates camera work using the feature vector, and outputs at least one selected from between the camera framing and the camera work.