Abstract:
A method and system for creating a database of multimedia content elements assigned to users are provided. The method comprises receiving at least one parameter identifying a user; receiving at least one multimedia content element from a user device; generating at least one signature to the at least one multimedia content element; searching for the existence of the at least multimedia content element in a database using the least one generated signature to determine whether each of the at least one multimedia content element is an existing multimedia content element or a non-existing multimedia content element; and generating a unique identifier using the at least one parameters for each non-existing multimedia content element; assigning the generated unique identifier to its respective non-existing multimedia content element; and storing each of the non-existing multimedia content elements and their respective unique identifiers in the database.
Abstract:
A method for identifying nutritional data related to food substances contained in a multimedia content item is provided. The method includes analyzing a received multimedia content item to identify multimedia elements containing food substance; generating at least one signature for each identified multimedia element; querying a deep-content-classification (DCC) system for each of the identified multimedia elements to find at least one concept that matches at least one of the identified multimedia elements; matching the at least one signature of each of the at least one matching concepts to previously generated signatures of food substances maintained in a data warehouse; retrieving, for each of the at least one matching signature, nutritional data associated with the at least one matching signature from the data warehouse, thereby providing nutritional data for the food substances substance contained in the received multimedia content item; and sending the nutritional data to the user device.
Abstract:
A method for tagging multimedia content elements is provided. The method comprises receiving at least one multimedia content element from a user device; generating at least one signature for the at least one multimedia content element; generating at least one tag based on the least one generated signature, wherein the at least one tag is searchable by the user device; and sending the tag generated for the received multimedia content element to storage on the user device.
Abstract:
A method for determining a user attention to at least one multimedia data element (MMDE) displayed in a web-page over a user computing device. The method comprises receiving a request to determine the user attention, wherein the request includes at least the web-page and an identification of the at least one MMDE in the web-page; receiving at least one sensory signal captured by at least one sensor connected to the user computing device; querying a deep-content-classification (DCC) system to find a match between at least one concept structure and the received sensory signal; receiving a first set of metadata related to the at least one matched concept structure; analyzing the returned set of metadata to determine the user attention with respect to the at least one MMDE; and associating the at least one MMDE with the determined user attention.
Abstract:
A method and apparatus for unsupervised clustering of a large-scale collection of multimedia data elements. The method comprises generating a first cluster from the large-scale collection by: matching each of the multimedia data elements to all other multimedia data elements in the large-scale collection, determining a clustering score for each match being performed, clustering multimedia data elements having a clustering score above a threshold to create the first cluster; and storing the first cluster in a storage unit.
Abstract:
A method for responding to a query is implemented on at least one computing device and includes: receiving at least one query from a user device; determining a context for the at least one query, selecting at least one deep learning network (DLN) of a plurality of DLNs to process the at least one query, where the selecting is based at least on matching the context to the at least one DLN, sending at least a representation of the at least one query and the context to the at least one DLN, receiving at least one response to the at least one query from the at least one DLN, and sending the at least one response to the user device.
Abstract:
A system and method for generating an interface for providing recommendations based on contextual insights, the method including: generating at least one signature for at least one multimedia content element identified within an interaction between a plurality of users; generating at least one contextual insight based on the generated at least one signature and user interests of the plurality of users, wherein each contextual insight indicates a current user preference; searching for at least one content item that matches the at least one contextual insight; and generating an interface for providing the at least one content item within the interaction between the plurality of users.