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: In one embodiment, an automotive prediction system includes a processing circuitry to obtain labels labelling media content elements identified in road-scene media content sequences, each label including a content descriptor selected from different content descriptors describing at least one media content element, the different content descriptors including a first and second content descriptor, calculate a correlation of the first and second content descriptor based on a count of occurrences of the first content descriptor being used for labelling after, but within a given temporal distance of the first content descriptor being used for labelling in the road-scene media content sequences, and populate an automotive prediction database with the correlation of the first and second content descriptor for use in making decisions during driving of a vehicle. Related apparatus and methods are also described.

Abstract: A method for estimating a potential blind spot event related to a potential blind spot of a first vehicle, the method may include detecting, using at least one sensor of a second vehicle, the first vehicle and a spatial relationship between the first vehicle and the second vehicle; estimating, based on at least one blind spot parameter of the first vehicle, an occurrence of the potential blind spot event; wherein the potential blind spot event occurs when the second vehicle is within a potential blind spot of the first vehicle or is about to enter the potential blind spot of the first vehicle; and responding to the estimated occurrence of the potential blind spot event.

Abstract: A method for image processing at different illumination conditions, the method may include acquiring an image of an environment of a vehicle; selecting a set of pixels located within a region of interest that is located at an upper part of the image; calculating an illumination condition indicator based on values of the set of pixels; selecting a selected machine learning process, out of a machine learning processes, based on the illumination condition indicator; wherein different machine learning processes are trained to different illumination conditions; and processing the image by the selected machine learning process to provide processing results.

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 generating a simulation scenario, the method may include receiving sensed information that was sensed during driving sessions of vehicles; wherein the sensed information comprises visual information regarding multiple objects; determining, by applying an unsupervised learning process on the sensed information, driving scenario building blocks and occurrence information regarding an occurrence of the driving scenario building blocks; and generating the simulation scenario based on a selected set of driving scenario building blocks and on physical guidelines, wherein the generating comprises selecting, out of the driving scenario building blocks, the selected set of driving scenario building blocks; wherein the generating is responsive to at least a part of the occurrence information and to at least one simulation scenario limitation.

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 scale invariant object detection.

Abstract: A method for associating a link to web content with a multimedia content element are provided. The method includes identifying at least one multimedia content element in a web-page; generating, by a signature generator system, a signature for the at least one multimedia content element, wherein the signature generator system includes a plurality of computational cores enabled to receive the multimedia content element and to generate a signature for at least a portion of the multimedia content element, each computational core having properties that are at least partly statistically independent of the other computational cores; matching the generated signature to signatures of web content existing on at least one web server to determine matching web content; determining a link to the matching web content; and modifying the at least one multimedia content by adding the link.

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

Abstract: A method for detecting road elements that may include (a) detecting predefined identifiers of road elements, in road related information sensed by vehicles; (b) detecting potential identifiers of road elements that differ from the predefined identifiers of road elements, by processing road related information that was acquired by the vehicles during relevant time windows that are related to the detecting of the predefined identifiers; (c) finding actual identifiers of road elements out of the potential identifiers; wherein the findings is based, at least in part, on road related information that was acquired by the vehicles outside the relevant time windows; and (d) updating a database with the actual identifiers.

Abstract: A method for passing a curve, the method may include sensing, by a vehicle sensor, environment information regarding an environment of the vehicle; sensing at least one current propagation parameter of the vehicle; detecting, based on at least the environment information, (a) that the vehicle is about to reach the curve, (b) one or more first road conditions of a first road segment that precedes the curve; determining one or more curve passing propagation parameters to be applied by the vehicle while passing the curve, wherein the determining is based, at least in part, on the one or more first road conditions and on the at least one current propagation parameter; and responding to the determining.

Abstract: A method for at least partial autonomous driving based on one or more other vehicles, the method may include (i) detecting a trusted vehicle within an environment of a first vehicle, the first vehicle is destined to follow a first path and reach a first target location, the trusted vehicle is destined to follow a second path; (ii) determining, based on at least a spatial relationship between the first path and the second path, at least one out of: (a) whether to perform an at least partial autonomous driving session that involves at least partially automatically following the trusted vehicle, and (b) whether to suggest to a human driver of the first vehicle to authorize the first vehicle to perform the at least partial autonomous driving session; and responding to the determination.

Abstract: A system and method for recognizing characters embedded in multimedia content are provided. The method includes extracting at least one image of at least one character from a received multimedia content item; identifying a natural language character corresponding to the at least one image of the at least one character, wherein the identification is performed by a deep content classification (DCC) system; and storing the identified natural language character in a data warehouse.

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

Abstract: A method for crowd separation, the method may include receiving or generating a signature of an image of a first plurality of pedestrians, wherein the image comprises regions, wherein the signature of the image comprises descriptors of the regions, wherein each descriptor of a region is associated with a region and comprises a set of identifiers that identify content included in the region and in a vicinity of the region; detecting, within the descriptors of the regions, unique combinations of identifiers that are indicative of spatial relationships between the regions and bounding boxes that surround pedestrians of the first plurality of pedestrians; wherein the unique combinations are learnt during a supervised machine learning process that is fed with test images of densely positioned pedestrians; and locating the pedestrians of the first plurality of pedestrians based, at least in part, on the spatial relationships related to detected unique combinations and to locations of the regions.

Abstract: Using a read sensor to sense wrong-way driving.

Abstract: A method for estimating a future fall of a cargo, the method may include receiving by a computerized system, sensed information related to driving sessions of multiple vehicles; applying a machine learning process on the sensed information to detect actual or estimated cargo falling events and generate one or more future falling cargo predictors for multiple types of cargo; estimating, from the sensed information, an impact of cargo falling events related to at least some of the types of cargo; and responding to the estimating, wherein the responding comprises at least one out of (a) storing the one or more future falling cargo predictors for the multiple types of cargo, (b) transmitting the one or more future falling cargo predictors for the multiple types of cargo; (c) storing the estimated impact of cargo falling events related to the at least some of the types of cargo, and (d) transmitting the impact of cargo falling events related to the at least some of the types of cargo.

Abstract: Using a read sensor to sense wrong-way driving.