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: A method and system for detecting temporal segments of talking faces in a video sequence using visual cues. The system detects talking segments by classifying talking and non-talking segments in a sequence of image frames using visual cues. The present disclosure detects temporal segments of talking faces in video sequences by first localizing face, eyes, and hence, a mouth region. Then, the localized mouth regions across the video frames are encoded in terms of integrated gradient histogram (IGH) of visual features and quantified using evaluated entropy of the IGH. The time series data of entropy values from each frame is further clustered using online temporal segmentation (K-Means clustering) algorithm to distinguish talking mouth patterns from other mouth movements. Such segmented time series data is then used to enhance the emotion recognition system.

Abstract: A method and system for detecting temporal segments of talking faces in a video sequence using visual cues. The system detects talking segments by classifying talking and non-talking segments in a sequence of image frames using visual cues. The present disclosure detects temporal segments of talking faces in video sequences by first localizing face, eyes, and hence, a mouth region. Then, the localized mouth regions across the video frames are encoded in terms of integrated gradient histogram (IGH) of visual features and quantified using evaluated entropy of the IGH. The time series data of entropy values from each frame is further clustered using online temporal segmentation (K-Means clustering) algorithm to distinguish talking mouth patterns from other mouth movements. Such segmented time series data is then used to enhance the emotion recognition system.