Abstract: In a method of encoding of temporal information for stable video instance segmentation and video object detection, a neural network analyzes an input frame of a video to output a prediction template. The prediction template includes either segmentation masks of objects in the input frame or bounding boxes surrounding objects in the input frame. The prediction template is then colour coded by a template generator. The colour coded template, along with a frame subsequent to the input frame, is supplied to a template encoder such that temporal information from the input frame is encoded into the output of the temporal encoder.

Abstract: A method for recognizing image context by an electronic device includes capturing a first image frame from a preview of an imaging sensor of the electronic device, recognizing a first scene that is captured in the first image frame, recognizing second scenes in a plurality of image frames that is not captured in the first image frame, and determining contextual information of the first image frame based on the first scene and the second scenes.

Abstract: A method for segmenting objects in a scene by an electronic device is provided. The method includes inputting at least one input frame of the scene into a pre-trained neural network model, the scene including a plurality of objects; determining a position and a shape of each object of the plurality of objects in the scene using the pre-trained neural network model; determining an array of coefficients for pixels associated with each object of the plurality of objects in the scene using the pre-trained neural network model; and generating a segment mask for each object of the plurality of objects based on the position, the shape, and the array of coefficients for each object of the plurality of objects in the scene.

Abstract: A method for displaying an intelligent zoom recommendation in an electronic device includes displaying a scene comprising a plurality of objects in a preview frame of at least one imaging sensor of the electronic device. The method also includes determining a preference for each of the objects by mapping each of the objects into a preference database of the electronic device. The method further includes determining a position of each of the objects in the preview frame of the at least one imaging sensor of the electronic device. Additionally, the method includes selecting at least one object from the plurality of objects based on the preference and the position of each of the objects. The method also includes displaying at least one graphical indication to zoom the at least one selected object in the preview frame of the at least one imaging sensor of the electronic device.

Abstract: A method for displaying an intelligent zoom recommendation in an electronic device includes displaying a scene comprising a plurality of objects in a preview frame of at least one imaging sensor of the electronic device. The method also includes determining a preference for each of the objects by mapping each of the objects into a preference database of the electronic device. The method further includes determining a position of each of the objects in the preview frame of the at least one imaging sensor of the electronic device. Additionally, the method includes selecting at least one object from the plurality of objects based on the preference and the position of each of the objects. The method also includes displaying at least one graphical indication to zoom the at least one selected object in the preview frame of the at least one imaging sensor of the electronic device.

Abstract: A method of video search in an electronic device is provided. The method includes extracting a plurality of visual features vectors comprising visual features from a plurality of videos stored in a video database, wherein each visual feature corresponds to a pre-defined moment, generating a temporal map of the plurality of visual feature vectors, generating at least one video tag and at least one time stamp associated with the visual feature vector, storing the at least one video tag, the visual feature vectors and the at least one time stamp for each visual feature in a vector database, receiving a search query from a user for a specific moment in a plurality of videos in the electronic device, running the search query on the vector database, and displaying visual features associated with the specific moments from the plurality of videos.

Abstract: A method and an electronic device for displaying images in a multi-dimensional mode based on personalized topics are provided. The method includes generating a plurality of personalized topics based on a plurality of images stored in the electronic device across a predetermined time period, and displaying the plurality of personalized topics along a timeline.

Abstract: Accordingly the embodiments herein provide a method for rendering a background in an image by an electronic device (100). The method includes recognizing, by the electronic device (100), foreground objects and background objects of the image. Further, the method includes determining, by the electronic device (100), a context of the foreground objects and a context of the background objects in the image. Further, the method includes determining, by the electronic device (100), a background pattern based on the context of the foreground objects and the context of the background objects. Further, the method includes modifying, by the electronic device (100), the background of the image based on the background pattern. Further, the method includes displaying, by the electronic device (100), the image with the modified background.

Abstract: A method, which facilitates interaction with virtual reality device, includes receiving a user input via a wearable device; extracting a parameter and a value of the parameter from the user input; transmitting the parameter and the value of the parameter to the VR device; identifying an action corresponding to the parameter and the value; and executing the action.

Abstract: A method and an electronic device for displaying images in a multi-dimensional mode based on personalized topics are provided. The method includes generating a plurality of personalized topics based on a plurality of images stored in the electronic device across a predetermined time period, and displaying the plurality of personalized topics along a timeline.

Abstract: The present disclosure relates to image retrieval in an electronic device. An operating method of an electronic device includes determining an object included in an image and a position of extent occupied by the object in the image and retrieving at least one image including the object at the position from among a plurality of images.

Abstract: A method, which facilitates interaction with virtual reality device, includes receiving a user input via a wearable device; extracting a parameter and a value of the parameter from the user input; transmitting the parameter and the value of the parameter to the VR device; identifying an action corresponding to the parameter and the value; and executing the action.

Abstract: A method of providing a summary of a video in an electronic device includes determining first summary frames from among a plurality of frames of the video, based on a preset criterion; generating a plurality of pieces of first summary information corresponding to the first summary frames; and displaying at least one of the first summary frames and the plurality of pieces of first summary information, together with at least one frame of the video.

Abstract: The present disclosure relates to image retrieval in an electronic device. An operating method of an electronic device includes determining an object included in an image and a position of extent occupied by the object in the image and retrieving at least one image including the object at the position from among a plurality of images.

Abstract: The present invention provides a method and system of generating multilayered point based 3D representation of a scene. The method includes constructing an alpha model of randomly selected regions associated with objects with similar depth value and depth jump in a depth map of a scene, and identifying mixed pixel regions associated with edges of the objects. The method further includes estimating color, depth and transparency values for pixels in each identified mixed pixel region using associated color information from an image map of the scene, associated depth value information from the depth map, and transparency information from the alpha model based on the associated depth information. The method includes generating a multi-layered point based 3D representation of the scene by organizing the estimated color, transparency, and depth values. Moreover, the method includes rendering 3D views of the scene using the multi-layered point based 3D representation of the scene.

Abstract: The present invention provides a method and system of generating multilayered point based 3D representation of a scene. The method includes constructing an alpha model of randomly selected regions associated with objects with similar depth value and depth jump in a depth map of a scene, and identifying mixed pixel regions associated with edges of the objects. The method further includes estimating colour, depth and transparency values for pixels in each identified mixed pixel region using associated colour information from an image map of the scene, associated depth value information from the depth map, and transparency information from the alpha model based on the associated depth information. The method includes generating a multi-layered point based 3D representation of the scene by organising the estimated colour, transparency, and depth values. Moreover, the method includes rendering 3D views of the scene using the multi-layered point based 3D representation of the scene.