Abstract: A method for detecting one or more topic transitions in a multimedia content includes identifying, one or more frames from a plurality of frames of the multimedia content based on a comparison between one or more content items in a first frame of the plurality of frames, and the one or more content items in a first set of frames of the plurality of frames. The method further includes determining at least a first score, and a second score for each of the one or more frames. Additionally, the method includes determining a likelihood for each of the one or more frames based at least on the first score, and the second score, wherein the likelihood is indicative of a topic transition among the one or more frames.

Abstract: Embodiments disclose methods, systems and non-transitory computer readable medium for joint temporal segmentation and classification of user activities in an egocentric video.

Abstract: According to embodiments illustrated herein, a method and system is provided for indexing a multimedia content. The method includes extracting, by one or more processors, a set of frames from the multimedia content, wherein the set of frames comprises at least one of a human object and an inanimate object. Thereafter, a body language information pertaining to the human object is determined from the set of frames by utilizing one or more image processing techniques. Further, an interaction information is determined from the set of frames. The interaction information is indicative of an action performed by the human object on the inanimate object. Thereafter, the multimedia content is indexed in a content database based at least on the body language information and the interaction information.