Abstract:
The disclosed embodiments relate to a method for content recommendation. The method includes determining, by one or more processors, one or more features of a segment of a first content being accessed during a presentation of the first content on a user-computing device. The segment of the first content is accessed for a predetermined number of times. The method further includes extracting for a feature from the one or more features, a second content based on the feature, wherein the second content is recommended through the user-computing device.
Abstract:
The disclosed embodiments illustrate methods and systems for detecting plagiarism in a conversation. The method includes receiving first input corresponding to a query from a first user in said conversation. The first input corresponds to at least a first audio signal received from said first user. The method includes receiving second input corresponding to one or more responses received from a second user in response to said query. The second input corresponds to at least a second audio signal received from said second user. Thereafter, the method includes determining a first score for one or more websites, based on a comparison between said one or more responses and content obtained from said one or more websites in response to said query. The first score is a measure of a similarity between said one or more responses and said content. The method is performed by one or more microprocessors.
Abstract:
The disclosed embodiments illustrate methods and systems for processing multimedia content. The method includes extracting one or more words from an audio stream associated with multimedia content. Each word has associated one or more timestamps indicative of temporal occurrences of said word in said multimedia content. The method further includes creating a word cloud of said one or more words in said multimedia content based on a measure of emphasis laid on each word in said multimedia content and said one or more timestamps associated with said one or more words. The method further includes presenting one or more multimedia snippets, of said multimedia content, associated with a word selected by a user from said word cloud. Each of said one or more multimedia snippets corresponds to said one or more timestamps associated with occurrences of said word in said multimedia content.
Abstract:
The disclosed embodiments illustrate methods and systems for processing multimedia content. The method includes extracting one or more words from an audio stream associated with multimedia content. Each word has associated one or more timestamps indicative of temporal occurrences of said word in said multimedia content. The method further includes creating a word cloud of said one or more words in said multimedia content based on a measure of emphasis laid on each word in said multimedia content and said one or more timestamps associated with said one or more words. The method further includes presenting one or more multimedia snippets, of said multimedia content, associated with a word selected by a user from said word cloud. Each of said one or more multimedia snippets corresponds to said one or more timestamps associated with occurrences of said word in said multimedia content.
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.
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.