Abstract: A system and method for contextually 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 third concepts stored in the concept database, at least one matching first concept among the plurality of third concepts; generating a reduced representation of the first MMDE; comparing the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching MMDEs among the plurality of second MMDEs; generating, based on the reduced representation of the first MMDE and the signatures representing the plurality of matching MMDEs, a second concept; and generating at least one context based on the second concept and the plurality of third concepts, wherein each context includes at least one common pattern among the second concept and at least one of the plurality of third concepts.

Abstract: A system and method for method for identifying key points in a multimedia data element (MMDE). The method includes: identifying, via a computer vision system, a plurality of candidate key points in the MMDE, wherein a size of each candidate key point is equal to a predetermined size, wherein a scale of each candidate key point is equal to a predetermined scale; analyzing the plurality of candidate key points to determine a set of properties for each candidate key point; comparing the sets of properties of the plurality of candidate key points; and selecting, based on the comparison, a plurality of key points from among the candidate key points.

Abstract: A method and system for determining a current context of a multimedia content element are provided. The method includes receiving at least one multimedia content element from a user device; receiving at least one environmental variable related to the at least one multimedia content element; generating at least one signature for the multimedia content element; determining a context of the at least one multimedia content element based on the at least one contextual parameter; and determining the current context of the at least one multimedia content element based on at least one contextual parameter and the determined context.

Abstract: A method and system for profiling interests of users based on multimedia content analysis and creating users' profiles respective thereof is provided. The method comprises receiving a tracking information gathered with respect to an interaction of a user with at least one multimedia element displayed on a user node; determining a user impression respective of at least one multimedia content element using the received tracking information; generating at least one signature for the at least one multimedia element; determining at least a concept of the at least one multimedia element using the at least one generated signature, wherein an interest of the user is determined respective of the concept; creating a user profile to include at least the user interest; and storing the user profile in a data warehouse.

Abstract: A method for grading a precious gem. The method may include generating, by a signature generator, a signature of the precious gem; searching, out of multiple concept structures, for a matching concept structures that comprises at least one reference signature that matches the signature of the precious gem; wherein each concept structure comprises precious gem signatures of the same grade; wherein at least two concept structures differ from each other by grade; wherein each concept structure is generated by applying an unsupervised learning process and associating a grade with the cluster; and determining the grade of the precious gem based on a grade associated with a matching concept structure.

Abstract: A method for operating an ensemble of narrow AI agents, the method may include obtaining one or more sensed information units; determining, by a perception unit and based on the one or more sensed information units, one or more relevant narrow AI agents of the ensemble, that are relevant to a processing of the one or more sensed information units; wherein the ensemble is relevant to a first plurality of scenarios; processing the one or more sensed information units, by the one or more relevant narrow AI agents, to provide one or more narrow AI agent outputs; and processing, by an intermediate result unit, the one or more narrow AI agent outputs to provide an intermediate result; and generating a response, by a response unit, based on the intermediate result; wherein each narrow AI agent is relevant to a respective fraction of the first plurality of scenarios.

Abstract: A method and system for determining access permissions to personalized clusters of multimedia content elements are provided. The method includes receiving a permission index designating at least the content description of at least one personalized cluster and an authentication factor; analyzing the content description; checking if there is at least one personalized cluster that matches the analyzed content description; and generating privacy metadata for each matching personalized cluster, wherein the privacy metadata includes at least the authentication factor associated with the respective content description matching the personalized cluster, wherein the generate privacy metadata determines access permission to the matching personalized cluster.

Abstract: A system and method for recommending tags for a multimedia content element to be tagged. The method includes obtaining a plurality of signatures for the multimedia content element to be tagged, wherein each of the generated signatures represents a concept, wherein each concept is a collection of signatures and metadata representing the concept; correlating between the plurality of signatures to determine at least one context of the multimedia content element to be tagged; searching for at least one contextually related multimedia content element, wherein each contextually related multimedia content element matches at least one of the determined at least one context; and identifying at least one tag, wherein each identified tag is associated with at least one of the at least one contextually related multimedia content element; generating a recommendation including the identified at least one tag.

Abstract: A method and system for assigning a multimedia content element to a user. The method includes generating at least one signature to the multimedia content element; determining, based on the generated at least one signature, whether the multimedia content element exists in a database; and assigning a unique identifier of the user to the multimedia content element, when it is determined that the multimedia content element does not exist in the database.

Abstract: A method for generating a highly distinctive signature of a certain diamond, the method may include generating, based on one or more images of the certain diamond, a certain diamond signature of the certain diamond; finding, out of a group of reference diamonds, other diamonds having other diamond signatures; wherein the finding comprises calculating similarities between the certain diamond signature and reference diamond signatures of the reference diamonds of the group; and generating a new certain diamond signature that significantly differs from signatures of the other diamonds.

Abstract: A method for creating a multimedia data search engine platform to allow fast search of multimedia content data elements (MMDEs). The method comprises collecting MMDEs from at least an external source storing MMDEs; generating a plurality of signatures for each of the collected MMDEs; generating signature reduced clusters (SRCs) for the collected MMDEs by clustering the plurality of signatures generated for each of the collected MMDEs; and generating concept structures from the generated SRCs, wherein the concept structures generated for different SRCs are utilized to compare between different MMDEs, thereby searching for an input MMDE that matches the collected MMDEs.

Abstract: Systems, and method and computer readable media that store instructions for scale invariant object detection.

Abstract: A system, method, and computer-readable medium for providing recommendations based on a user interest. The method includes: generating at least one signature for at least one multimedia content element; querying, based on the generated at least one signature, a user profile to identify the user interest related to the at least one multimedia content element; generating at least one contextual insight based on the user interest, wherein each contextual insight indicates a user preference; searching for at least one content item that matches the at least one contextual insight; and causing a display of the at least one matching content item as a recommendation.

Abstract: A method for driving-related object detection, the method may include receiving an input image by an input of an object detector; and detecting, by an object detector, objects that appear in the input image. The detecting includes searching for (i) a first object having a first size that is within a first size range and belongs to a four wheel vehicle class, (ii) a second object having a second size that is within a second size range and belongs to a subclass out of multiple four wheel vehicle subclasses, (iii) a pedestrian, and (iv) a two wheel vehicle; wherein a maximum of the first size range does not substantially exceed a minimum of the second size range.

Abstract: A method and system for linking a multimedia data element (MMDE) and a webpage are provided. The method includes receiving a MMDE from a source; generating a signature representative of the MMDE using a plurality of computational cores; matching the generated signature with a plurality of signatures stored in a database to find at least one matching signature, wherein at least one of the stored signatures has at least one corresponding universal resource locator (URL) of a web page stored therein as metadata of the at least one of the stored signatures; and providing to the source at least a URL that is a metadata of a matched signature upon determination of a match between the generated signature and at least one of the plurality of signatures stored in the database.

Abstract: A method for matching a sensed signal to a concept structure, the method may include: receiving a sensed signal; generating a signature of the input image; comparing the signature of the input image to signatures of a concept structure; determining whether the signature of the input image matches any of the signatures of the concept structure based on signature matching criteria, wherein each signature of the concept structure is associated within a signature matching criterion that is determined based on an object detection parameter of the signature; and concluding that the input image comprises an object associated with the concept structure based on an outcome of the determining.

Abstract: Systems, and method and computer readable media that store instructions for calculating signatures, utilizing signatures and the like.

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 method that may include feeding an input image and downscaled versions of the input image to multiple branches of an object detector calculating, by the multiple branches, candidate bounding boxes; and selecting bounding boxes. The multiple branches comprise multiple shallow neural networks that are followed by multiple region units. Each branch includes a shallow neural network and a region unit. The multiple shallow neural networks are multiple instances of a single trained shallow neural network. The single trained shallow neural network is trained to detect objects having a size that is within a predefined size range and to ignore objects having a size that is outside the predefined size range.

Abstract: There may be provided a method for determining object information related to an object that appears in a media element, the method may include (a) receiving or generating a signature of the media element, wherein the signature may include identifiers, wherein the identifiers may include an object identifier related to the object, wherein the object identifier points to locations of output elements, within an output of a convolutional neural network, of elements of significance in relation to the object; (b) finding a group of contributing portions of the media element that had a significant contribution to the generation, by the convolutional neural network, of the output elements of significance in relation to the object; and (c) determining object information related to the object based on a distribution of the group of the contributing portions of the media element.