Abstract: As described herein, a system, method, and computer program are provided for context-based data-driven classification. Input to be processed using a classifier is identified. Data is obtained from one or more third party data sources, based on the input to be processed. The input is processed, using the classifier, to generate output that includes at least one classification for the input. Both the data from the one or more third party data sources and the output of the classifier are processed to determine a final classification for the input.

Abstract: As described herein, a system, method, and computer program are provided for context-based data-driven classification. Input to be processed using a classifier is identified. Data is obtained from one or more third party data sources, based on the input to be processed. The input is processed, using the classifier, to generate output that includes at least one classification for the input. Both the data from the one or more third party data sources and the output of the classifier are processed to determine a final classification for the input.

Abstract: As described herein, a system, method, and computer program are provided for quantifying the primacy of a financial relation for financial institution account management. An account of a customer with a financial institution is identified. Transactional-related information for the account is accessed. A holistic primacy score is computed for the account, using the transactional-related information, where the holistic primacy score holistically quantifies a primacy relation of the customer with the financial institution. At least one action is caused to be performed in association with the account, based on the holistic primacy score.

Abstract: As described herein, a system, method, and computer program are provided for a multi-dimensional credit worthiness evaluation. Financial transaction data is accessed for an individual. A plurality of dimensions of credit worthiness is computed for the individual, using the financial transaction data. At least one machine learning model is trained, using the financial transaction data and the plurality of dimensions of credit worthiness as training data, to make at least one financial-related prediction for additional individuals. The at least one machine learning model is output for use in making the at least one financial-related prediction for the one or more of the additional individuals.

Abstract: A method and a system are provided for segmenting a multimedia content. The method estimates a count of a plurality of multimedia segments in the multimedia content, and a duration of each of the plurality of multimedia segments in the multimedia content. The method determines a cost function associated with a multimedia segment from the plurality of multimedia segments, based on the count of the plurality of multimedia segments, and the duration of each of the plurality of multimedia segments. The method further determines an updated count of the plurality of multimedia segments, and an updated duration of each of the plurality of multimedia segments until the cost function satisfies a pre-defined criteria. Based on the updated count of the plurality of multimedia segments, and the updated duration of each of the plurality of multimedia segments, the method segments the multimedia content into the plurality of multimedia segments.

Abstract: The disclosed embodiments illustrate methods of generation of a table of content by processing multimedia content. The method includes identifying a set of key-phrases from the multimedia content based on one or more external data sources. The method further includes determining one or more segments of the multimedia content, based on the identified set of key-phrases, wherein a segment of the determined one or more segments comprises a subset of key-phrases from the set of key-phrases. The method further includes selecting at least a key-phrase from the subset of key-phrases of each of the corresponding one or more segments. The method further includes generating the table of content based on the selected key-phrase from each of the one or more segments, wherein the selected key-phrase from each of the one or more segments in the generated table of content is utilized to navigate through the multimedia content.

Abstract: Features are extracted from visual and audio modalities of a video to infer the location of figures/tables/equations/graphs/flow-charts determined as video anchor points which are highlighted on the video timeline to enable quick navigation and provide a quick summary of the video. A voice-based mechanism navigates to a point-of-interest in the video. In case of bandwidth-constrained settings, videos are often played at a very low resolution (quality), and often users need to increase video resolution manually to understand content presented in the figures. Using the automatic identification of these aforementioned anchored points, the resolution can be changed dynamically during streaming a video, which will provide a better viewing experience.

Abstract: The disclosed embodiments illustrate method and system of processing multimedia content to generate a text transcript. The method includes segmenting each of a set of text frames to determine spatial regions. The method further includes extracting one or more keywords from each of the determined spatial regions. The method further includes determining the first set of keywords from the extracted one or more keywords based on filtering of one or more off-topic keywords from the extracted one or more keywords. The method further includes extracting a second set of keywords based on the determined first set of keywords. The method further includes generating a graph between each of a first set of keywords and one or more of a second set of keywords. The method further includes dynamically generating the text transcript of audio content in the multimedia content based on the generated graph.

Abstract: The disclosed embodiments illustrate methods and systems for querying multiple healthcare-related knowledge graphs. The method includes retrieving a set of healthcare-related response sub-graphs from a plurality of healthcare-related knowledge graphs based on a keyword-based query. The method further includes generating a first set of healthcare-related ranked sub-graphs corresponding to the plurality of healthcare-related knowledge graphs. The method further includes generating a set of healthcare-related connected sub-graphs, based on at least healthcare-related ranked sub-graphs in the plurality of healthcare-related knowledge graphs. The method further includes generating a second set of healthcare-related ranked sub-graphs based on at least a ranking of healthcare-related connected sub-graphs in the set of healthcare-related connected sub-graphs.

Abstract: The disclosed embodiments illustrate method and system of processing multimedia content to generate a text transcript. The method includes segmenting each of a set of text frames to determine spatial regions. The method further includes extracting one or more keywords from each of the determined spatial regions. The method further includes determining the first set of keywords from the extracted one or more keywords based on filtering of one or more off-topic keywords from the extracted one or more keywords. The method further includes extracting a second set of keywords based on the determined first set of keywords. The method further includes generating a graph between each of a first set of keywords and one or more of a second set of keywords. The method further includes dynamically generating the text transcript of audio content in the multimedia content based on the generated graph.

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: A method and a system are provided for content processing to determine pre-requisite subject matters for subject matters in multimedia content. The method determines a set of pre-requisite concepts and a set of outcome concepts for each of a set of multimedia content of a course. The method determines a concept coverage score based on at least the determined set of pre-requisite concepts and the determined set of outcome concepts. The method further determines a relevance score of each pre-requisite concept that corresponds to the set of pre-requisite concepts. The method further determines a weighted score for one of the first set of multimedia content based on the determined concept coverage score and the determined relevance score of one or more of the set of pre-requisite concepts. Further, the method determines a set of pre-requisite subject matters for the subject matters based on at least the determined weighted score.

Abstract: The disclosed embodiments illustrate method for rendering time-compressed multimedia content on a user-computing device. The method includes determining metadata for one or more frames in multimedia content based on each of one or more time-compression factors and one or more attributes of the multimedia content. Further, the determined metadata comprises a binary value associated with each of the one or more frames of the multimedia content. The method further includes transmitting the multimedia content associated with the determined metadata to the user-computing device, based at least on a time-compression factor in a user request received from the user-computing device. Further, the transmitted multimedia content is rendered on the user-computing device as the time-compressed multimedia content.

Abstract: The disclosed embodiments illustrate methods and systems of multimedia content processing for automatic ranking of online multimedia items. The method includes selecting one or more multimedia items based on a user-request. For a multimedia item from the one or more selected multimedia items, the method includes determining a plurality of features from the multimedia item based on audio content, text content and visual content associated with the multimedia item. The method further includes classifying the plurality of features into a plurality of speaking style categories. The method further includes determining an engagement score for the multimedia item based on the classified plurality of features and a weight associated with each of the plurality of speaking style. The method further includes ranking the one or more multimedia items based on at least the determined engagement score associated with each of the one or more multimedia items.

Abstract: The disclosed embodiments illustrate methods and systems for multimedia processing to identify concepts in multimedia content. The method includes receiving the multimedia content ant at least one annotation of multimedia content at a computing device from another computing device. The received at least one annotation includes a plurality of keywords that is representative of at least a plurality of concepts in the received multimedia content. The method further includes extracting a plurality of features from the received multimedia content by performing a statistical analysis of the multimedia content, based on the plurality of keywords in the at least one annotation. The method further includes identifying the plurality of concepts in a set of frames of the multimedia content by use of one or more classifiers. The one or more classifiers are trained, based on at the extracted plurality of features.

Abstract: A method and a system to detect disengagement of a first user viewing an ongoing multimedia content on a user computing device are disclosed. In an embodiment, one or more activity-based contextual cues and one or more behavior-based contextual cues of the first user viewing the ongoing multimedia content on the first user-computing device are received. Further, the disengagement of the first user is detected based on the one or more activity-based contextual cues and/or and one or more behavior-based contextual cues. Based on the detected disengagement of the first user, one or more queries are rendered on a user interface displayed on a display screen of the first user-computing device.

Abstract: The disclosed embodiments illustrate methods for recommending multimedia segments in multimedia content associated with online educational courses for annotation via a user interface. The method includes extracting one or more features associated with the multimedia content, wherein a feature of the one or more features corresponds to at least a requirement of an exemplary instance. The method further includes selecting a set of multimedia segments from one or more multimedia segments in the multimedia content, based on historical data that corresponds to interaction of one or more users with the multimedia content and the extracted one or more features associated with the multimedia content. Further, the method includes recommending the selected set of multimedia segments in the multimedia content through the user interface displayed on the user-computing device associated with a user, wherein the user annotates the recommended set of multimedia segments in the multimedia content.

Abstract: The disclosed embodiments illustrate methods of generation of a table of content by processing multimedia content. The method includes identifying a set of key-phrases from the multimedia content based on one or more external data sources. The method further includes determining one or more segments of the multimedia content, based on the identified set of key-phrases, wherein a segment of the determined one or more segments comprises a subset of key-phrases from the set of key-phrases. The method further includes selecting at least a key-phrase from the subset of key-phrases of each of the corresponding one or more segments. The method further includes generating the table of content based on the selected key-phrase from each of the one or more segments, wherein the selected key-phrase from each of the one or more segments in the generated table of content is utilized to navigate through the multimedia content.

Abstract: An image display system and method dynamically adjusts a resolution of a streamed image corresponding to determined visual saliency scores of the streamed image. A viewer display, a resolution adaptation engine and a visual saliency score calculation engine are included.

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