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:
An assembler for generating a complex signature of an input multimedia data element comprises a first interface for receiving a plurality of signatures respective of a plurality of minimum size multimedia data elements, wherein each of the plurality of the minimum size multimedia data elements is a minimal partition of the input multimedia data element; an assembly unit for combining the plurality of signatures respective of the plurality of minimum size multimedia data elements to generate the complex signature; and a second interface for storing at least the complex signature in a storage unit connected thereto.
Abstract:
A method and apparatus for clustering a plurality of data elements. The method comprises receiving a plurality of cluster elements, each cluster element containing at least a data element; generating a clustering score for each cluster element of the plurality of cluster elements versus all other cluster elements of the plurality of cluster elements using a computing device; determining a size of a diagonal matrix having a size corresponding to the number of the plurality of cluster elements; placing the clustering score in a diagonal matrix in storage one clustering score for each pair of cluster elements; creating a new cluster element for each two cluster elements in the diagonal matrix having a clustering score that exceeds a threshold; and storing generated new cluster elements in the storage.
Abstract:
A system for generating personalized channels of multimedia content. The system comprises an interface to one or more multimedia sources, wherein the multimedia sources provide multimedia content to the personalized channels of multimedia content; and a server for receiving multimedia content from the one or more multimedia sources through the interface and for serving selected multimedia content to users of the system over one or more of the personalized channels; wherein a user of the system receives personalized multimedia content gathered by the server into the one or more of the personalized channels responsive of preferences of the user as observed by the system for the user.
Abstract:
A computing arrangement for identification of a current temporal input against one or more learned signals. The arrangement comprising a number of computational cores, each core comprises properties having at least some statistical independency from other of the computational, the properties being set independently of each other core, each core being able to independently produce an output indicating recognition of a previously learned signal, and at least one decision unit for receiving the produced outputs from the number of computational cores and making an identification of the current temporal input based the produced outputs.
Abstract:
A system and method for enriching a concept database. The method includes determining, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of existing concepts in the concept database, at least one first concept among the plurality of existing concepts, wherein each of the at least one first concept matches a portion of the at least one signature of the first MMDE; generating a reduced representation of the first MMDE, wherein generating the reduced representation further comprises removing the portion of the first MMDE matching the at least one first concept; comparing the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching second MMDEs; generating, based on the reduced representation of the first MMDE and the plurality of matching second MMDEs, at least one second concept; and adding the generated at least one second concept to the concept database.
Abstract:
A method for fuel efficiency optimization by predictive driving, the method comprises: determining a current state of a vehicle and current state of an environment of the vehicle; estimating a future state of the vehicle and a future state of the environment of the vehicle; wherein a future state of each one of the vehicle and the environment is a state at a future point of time following a current point of time; evaluating, whether the vehicle has to change one or more vehicle progress parameters between the current point of time and the future point of time; selecting a future driving behavior out of multiple future driving behaviors, that will implement the change of the one or more vehicle progress parameters, wherein the selecting is based on a fuel consumption associated with the change of the one or more future driving parameters; and generating at least one of a selected future driving behavior suggestion, a selected future driving behavior alert, and a selected future driving behavior command.