Abstract: The present disclosure provides a method and system for real time, dynamic, adaptive and non-sequential assembling of one or more mapped fragments of one or more tagged videos. The method includes a step of receiving a set of preference data from pre-defined selection criteria and set of user authentication data. The method includes another step of fetching the one or more tagged videos from the digitally processed repository of videos. The method includes yet another step of fragmenting each tagged video of the one or more tagged videos into the one or more tagged fragments and clustering one or more logical sets of mapped fragments into one or more logical clusters of mapped fragments. The method includes yet another step of assembling at least one of the one or more logical clusters of mapped fragments in a pre-defined order of preference to obtain an assembled video.

Abstract: The present disclosure provides a system and method for enabling navigation to one or more discrete segments of a real time dynamic and adaptive non-linear, non-sequentially assembled video. The method includes reception of a set of preference data associated with a user from a pre-defined selection criteria and a set of user authentication data. Accordingly, the method includes fetching of one or more tagged videos related to the set of preference data. The method includes fragmentation of the one or more tagged videos into the one or more tagged fragments. Further, the method includes clustering of one or more mapped fragments in a pre-defined order of preference. Furthermore, the method includes insertion of one or more interactive navigation options in one or more regions. Also, the method includes serving of the assembled video and inserted one or more interactive navigation options to the user.

Abstract: The present disclosure provides a method and system for sharing a real time, dynamic, adaptive and non-linearly assembled video on one or more publisher platforms. The method includes collection of a first set of information associated with a publisher platform of the one or more publisher platforms and fetching a set of preference data of the user from the publisher platform in the real time. The method includes fragmentation of each tagged video into the one or more tagged fragments and segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information and clustering of the one or more logical sets of mapped fragments into the one or more logical clusters of mapped fragments. The method includes assembling the one or more logical clusters of mapped fragments and sharing an assembled video on the publisher platform.

Abstract: The present disclosure provides a system and method for switching to a real time, dynamic, adaptive and non-sequentially assembled video during streaming of a live video. The method includes fetching an interest profile of a user. The fetching of the interest profile is done based on one or more interactive behaviors of the user. Further, the method includes recommending a set of video recommendations to the user. The method includes assembling one or more logical cluster of mapped fragments of one or more tagged videos virtually to obtain an assembled video. The method includes rendering the assembled video. In addition, the method includes switching the live video to the assembled video dynamically in the real time.

Abstract: The present disclosure provides a non-transitory computer usable storage memory for recommending dynamic, adaptive and non-sequentially assembled videos. The method includes reception of a set of preference data and a set of user authentication data. The method includes development of an interest profile of the user. The method includes fetching of one or more tagged videos. The method includes fragmentation of each tagged video into one or more tagged fragments and segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment and each logical set of mapped fragments. The method includes clustering of the one or more logical sets of mapped fragments and assembling of the one or more logical clusters of mapped fragments to obtain a set of assembled videos. The method includes recommendation of the set of assembled videos.

Abstract: The present disclosure provides a system and method for recommending dynamic, adaptive and non-sequentially assembled videos. The method includes reception of a set of preference data and a set of user authentication data. The method includes development of an interest profile of the user. The method includes fetching of the one or more tagged videos. The method includes fragmentation of each tagged video into the one or more tagged fragments and segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment and each logical set of mapped fragments. The method includes clustering of the one or more logical sets of mapped fragments and assembling of the one or more logical clusters of mapped fragments to obtain a set of assembled videos. The method includes recommendation of the set of assembled videos.

Abstract: The present disclosure provides a system and method for serving one or more advertisements during streaming of dynamic, adaptive and non-sequentially assembled video. The method includes reception of a set of preference data and a set of user authentication data. The method includes fetching of the one or more tagged videos. The method includes fragmentation of each tagged video into the one or more tagged fragments. The method includes segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment. The method includes clustering of the one or more logical sets of mapped fragments into one or more logical clusters. The method includes allocation and insertion of one or more advertisements in one or more advertisement slots. The method includes assembling of the one or more logical clusters of mapped fragments.

Abstract: The present disclosure provides a system and method for enabling display of interactive questions during streaming of a real time, dynamic, adaptive and non-sequentially assembled video. The method includes reception of a set of preference data associated with a user and a set of user authentication data. In addition, the method includes serving of the assembled video based on the received set of preference data to the user in real time. Moreover, the method includes fetching of a pre-defined set of interactive questions. Further, the method includes posting of the pre-defined set of interactive questions during the serving of the assembled video. Furthermore, the method includes collection of the set of user feedbacks for a posted pre-defined set of interactive questions from the user.

Abstract: The present disclosure provides a system and method for serving one or more advertisements during streaming of dynamic, adaptive and non-sequentially assembled video. The method includes reception of a set of preference data and a set of user authentication data. The method includes fetching of the one or more tagged videos. The method includes fragmentation of each tagged video into the one or more tagged fragments. The method includes segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment. The method includes clustering of the one or more logical sets of mapped fragments into one or more logical clusters. The method includes allocation and insertion of one or more advertisements in one or more advertisement slots. The method includes assembling of the one or more logical clusters of mapped fragments.

Abstract: The present disclosure provides a system and method for serving one or more advertisements during streaming of dynamic, adaptive and non-sequentially assembled video. The method includes reception of a set of preference data and a set of user authentication data. The method includes fetching of the one or more tagged videos. The method includes fragmentation of each tagged video into the one or more tagged fragments. The method includes segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment. The method includes clustering of the one or more logical sets of mapped fragments into one or more logical clusters. The method includes allocation and insertion of one or more advertisements in one or more advertisement slots. The method includes assembling of the one or more logical clusters of mapped fragments.

Abstract: The present disclosure provides a system and method for enabling display of interactive questions during streaming of a real time, dynamic, adaptive and non-sequentially assembled video. The method includes reception of a set of preference data associated with a user and a set of user authentication data. In addition, the method includes serving of the assembled video based on the received set of preference data to the user in real time. Moreover, the method includes fetching of a pre-defined set of interactive questions. Further, the method includes posting of the pre-defined set of interactive questions during the serving of the assembled video. Furthermore, the method includes collection of the set of user feedbacks for a posted pre-defined set of interactive questions from the user.

Abstract: The present disclosure provides a system and method for enabling navigation to one or more discrete segments of a real time dynamic and adaptive non-linear, non-sequentially assembled video. The method includes reception of a set of preference data associated with a user from a pre-defined selection criteria and a set of user authentication data. Accordingly, the method includes fetching of one or more tagged videos related to the set of preference data. The method includes fragmentation of the one or more tagged videos into the one or more tagged fragments. Further, the method includes clustering of one or more mapped fragments in a pre-defined order of preference. Furthermore, the method includes insertion of one or more interactive navigation options in one or more regions. Also, the method includes serving of the assembled video and inserted one or more interactive navigation options to the user.

Abstract: The present disclosure provides a method and system for sharing a real time, dynamic, adaptive and non-linearly assembled video on one or more publisher platforms. The method includes collection of a first set of information associated with a publisher platform of the one or more publisher platforms and fetching a set of preference data of the user from the publisher platform in the real time. The method includes fragmentation of each tagged video into the one or more tagged fragments and segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information and clustering of the one or more logical sets of mapped fragments into the one or more logical clusters of mapped fragments. The method includes assembling the one or more logical clusters of mapped fragments and sharing an assembled video on the publisher platform.

Abstract: The present disclosure provides a system and method for serving one or more advertisements during streaming of dynamic, adaptive and non-sequentially assembled video. The method includes reception of a set of preference data and a set of user authentication data. The method includes fetching of the one or more tagged videos. The method includes fragmentation of each tagged video into the one or more tagged fragments. The method includes segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment. The method includes clustering of the one or more logical sets of mapped fragments into one or more logical clusters. The method includes allocation and insertion of one or more advertisements in one or more advertisement slots. The method includes assembling of the one or more logical clusters of mapped fragments.

Abstract: The present disclosure provides a method and system for real time, dynamic, adaptive and non-sequential assembling of one or more mapped fragments of one or more tagged videos. The method includes a step of receiving a set of preference data from pre-defined selection criteria and set of user authentication data. The method includes another step of fetching the one or more tagged videos from the digitally processed repository of videos. The method includes yet another step of fragmenting each tagged video of the one or more tagged videos into the one or more tagged fragments and clustering one or more logical sets of mapped fragments into one or more logical clusters of mapped fragments. The method includes yet another step of assembling at least one of the one or more logical clusters of mapped fragments in a pre-defined order of preference to obtain an assembled video.

Abstract: The present disclosure provides a system and method for switching to a real time, dynamic, adaptive and non-sequentially assembled video during streaming of a live video. The method includes fetching an interest profile of a user. The fetching of the interest profile is done based on one or more interactive behaviors of the user. Further, the method includes recommending a set of video recommendations to the user. The method includes assembling one or more logical cluster of mapped fragments of one or more tagged videos virtually to obtain an assembled video. The method includes rendering the assembled video. In addition, the method includes switching the live video to the assembled video dynamically in the real time.

Abstract: The present disclosure provides a system and method for recommending dynamic, adaptive and non-sequentially assembled videos. The method includes reception of a set of preference data and a set of user authentication data. The method includes development of an interest profile of the user. The method includes fetching of the one or more tagged videos. The method includes fragmentation of each tagged video into the one or more tagged fragments and segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment and each logical set of mapped fragments. The method includes clustering of the one or more logical sets of mapped fragments and assembling of the one or more logical clusters of mapped fragments to obtain a set of assembled videos. The method includes recommendation of the set of assembled videos.