Abstract:
A method for translating natural language text. The method comprises receiving at least one multimedia element including a first natural language text; generating metadata representing the first natural language text; generating at least one signature for the at least one multimedia element; determining the context of the at least one multimedia element respective of the signature; and searching for a multimedia content element (MMCE) corresponding to the received at least one multimedia element that includes a second natural language text, wherein the search is performed using the at least one signature, the context and metadata generated for the at least input text in a first natural language respective of the context, wherein the second natural language text is a translated text of the first natural language text.
Abstract:
A system for generating signatures of an input multimedia data element comprises a partitioning unit for recursively partitioning the input multimedia data element into a plurality of multimedia data elements, wherein each of the plurality of the minimum size multimedia data elements is a minimal partition of the input multimedia data elements; a signature generator for generating for each of the plurality of minimum size multimedia data elements a respective signature; and a storage unit for storing the respective signatures respective of the plurality of minimum size multimedia data elements.
Abstract:
A method for determining driving policies for a vehicle includes: receiving, in real-time during a trip of a vehicle, at least a set of input multimedia content elements captured by at least one sensor deployed in proximity to the vehicle, determining a plurality of possible future scenarios based at least on the set of input multimedia content elements, determining a probability score for each of the plurality of possible future scenarios, determining at least one driving policy according to at least the probability score for at least one of the plurality of possible future scenarios, and controlling the vehicle according to the at least one driving policy.
Abstract:
There is provided a method for searching a plurality of information sources using a multimedia element, the method may include receiving at least one multimedia element; generating, by a signature generator, for the at least one multimedia element at least one signature that is unidirectional, and yields compression; generating at least one textual search query using the at least one signature; wherein the generating of the textual search query comprises: (a) searching for at least one matching stored signature that matches one or more of the at least one signature; and (b) using a mapping between stored signatures and textual search queries, selecting at least one textual search query mapped to at least one matching stored signature; searching the plurality of information sources using the at least one textual search query; and causing a display of search results retrieved from the plurality of information sources.
Abstract:
A system and method for generating a theme for multimedia content elements (MMCEs), including analyzing a plurality of MMCEs, where the analyzing further includes generating at least one signature to each MMCE; identifying, based on the generated signatures, a plurality of concepts for each MMCE, wherein each concept is a collection of signatures and metadata describing the concept; determining, based on the identified concepts, at least one context of each MMCE; and generating, based on the determined contexts, a theme, wherein the theme is a cluster of contextually related MMCEs.
Abstract:
A system and method for identifying influential entities depicted in multimedia content. The method includes determining, for each of a plurality of social linking graphs, a number of related entities, wherein each related entity has a social linking score above a first predetermined threshold, wherein each social linking score is generated based on at least one context of at least one multimedia content element (MMCE), and wherein each context is determined based on signatures generated for the at least one MMCE; and identifying, based on the determined number of related entities, at least one influential entity, wherein each influential entity is associated with one of the social linking graphs for which the determined number of related entities is above a second predetermined threshold.
Abstract:
A system and method for enriching a concept database with homogenous concepts. The method includes determining, based on signatures of a first multimedia content element (MMCE) and signatures of a plurality of existing concepts in the concept database, at least one first concept; generating a reduced representation of the first MMCE, wherein the reduced representation excludes the signatures of the first MMCE that match the at least one first concept; comparing the reduced representation to signatures representing a plurality of second MMCEs to select a first plurality of top matching second MMCEs; generating, based on the reduced representation and the first plurality of top matching second MMCEs, at least one second concept; determining, for each second concept, whether the second concept is a homogenous concept, wherein each homogenous concept uniquely represents the same content; and adding each homogenous concept to the concept database.
Abstract:
Content-based clustering, recognition, classification and search of high volumes of multimedia data in real-time. The embodiments disclosed herein are dedicated to real-time fast generation of signatures to high-volume of multimedia content-segments, based on relevant audio and visual signals, and to scalable matching of signatures of high-volume database of content-segments' signatures. The embodiments disclosed herein can be implemented in any applications which involve large-scale content-based clustering, recognition and classification of multimedia data, such as, content-tracking, video filtering, multimedia taxonomy generation, video fingerprinting, speech-to-text, audio classification, object recognition, video search and any other application requiring content-based signatures generation and matching for large content volumes such as, web and other large-scale databases.