Abstract: Embodiments of the disclosure disclose a method for applying an effect in a video by an electronic device. The method includes: detecting a first object and a second object in an image frame of the video; determining a type of motion of the first object and the second object in video; determining a speed of the motion of the first object and the second object in the video; determining a first effect to be applied to the first object and a second effect to be applied to the second object based on the type of motion of the first object and the second object and the speed of the motion of the first object and the second object; and applying the first effect to the first object and the second effect to the second object.

Abstract: A device and method are provided for providing a function related to a camera in an electronic device. The electronic device includes a display device; a first camera; a processor; and a memory configured to store instructions, which when executed, instruct the processor to acquire a plurality of first images having a first attribute and one or more second images having a second attribute through the first camera for a predetermined time, when an input associated with image acquisition is received, generate one or more image content based on the plurality of first images or the one or more second images, and store instructions that cause the one or more image content to be output through the display device.

Abstract: A method includes determining information indicative of at least one facial characteristic associated with at least one face in the source image, processing the source image using a filter based on the determined information, performing wavelet decomposition on each of the filtered image and the source image, determining weightage factors associated with the wavelet decomposition of each of the filtered image and the source image, based on the determined information, obtaining a wavelet image to generate a texture restored image from the wavelet decomposition of each of the filtered image and the source image based on the weightage factors.

Abstract: An apparatus and method are provided for recognizing an emotion of an individual based on Action Units. The method includes receiving an input AU string including one or more AUs that represents a facial expression of an individual from an AU detector; matching the input AU string with each of a plurality of AU strings, wherein each of the plurality of AU strings includes a set of highly discriminative AUs, each representing an emotion; identifying an AU string from the plurality of AU strings that best matches the input AU string; and outputting an emotion label corresponding to the best matching AU string that indicates the emotion of the individual.