Abstract: A method for detecting an improperly driven vehicle, that may include detecting, based on information sensed by at least one sensor of a monitoring vehicle, a behavior of a monitored vehicle; determining whether the behavior of the monitored vehicle is an improper behavior; generating, by a processing unit of the monitoring vehicle, an improper vehicle label that comprises a unique vehicle identifier that identifies the monitored vehicle, when the behavior of the monitored vehicle is determined to be improper; and sending the improper vehicle label to at least one shared database accessible to other vehicles.

Abstract: A method and system for overlaying content on a multimedia content element. The method includes: partitioning the multimedia content element into a plurality of partitions; generating at least one signature for each partition of the multimedia content element, wherein each generated signature represents a concept; determining, based on the generated at least one signature, at least one link to content; identifying, based on the generated at least one signature, at least one of the plurality of partitions as a target area of user interest; and adding, as an overlay to the multimedia content element, the determined at least one link to content, wherein the at least one link is overlaid on the at least one target area.

Abstract: A method for assisting in turning a vehicle, the method may include detecting or estimating that the vehicle is about to turn to a certain direction or is turning to the certain direction; sensing a relevant portion of an environment of the vehicle to provide sensed information, wherein the relevant portion of the environment is positioned at a side of the vehicle that corresponds with the certain direction; applying an artificial intelligence process on the sensed information to (i) detect objects within the relevant portion of the environment and (ii) estimate expected movement patterns of the objects within a time frame that ends with an expected completion of the turn of the vehicle; determining, given an expected trajectory of the vehicle during the turn and the expected movement patterns of the objects, whether at least one of the objects is expected to cross the trajectory of the vehicle during the turn; and responding to an outcome of the determining.

Abstract: A method for lane departure assistance, the method may include obtaining sensed information about an environment of the first vehicle, by one of more vehicle sensors of a first vehicle; wherein the environment of the first vehicle comprises a passing lane and a current lane in which the first vehicle is positioned; determining, by a computer of the first vehicle, whether the first vehicle can successfully and lawfully bypass a second vehicle; wherein the determining is executed before starting the bypass of the second vehicle and is based on the sensed information, one or more driving laws, and one or more first vehicle mechanical parameters; generating a driver perceivable indicator that is indicative of the determining; sensing that the driver initiates a bypass of the second vehicle; evaluating, following the start of the bypass of the second vehicle and during at least a majority of the bypass, whether the first vehicle can successfully and lawfully complete the bypass of the second vehicle; and generatin

Abstract: A method for providing a prediction of a radius of a motorcycle turn, the method may include determining that the motorcycle is about to turn; predicting values of multiple radius of turn impacting (RTI) parameters; wherein the multiple RTI parameters are selected out of a group of parameters, wherein the selection was made during a machine learning training process, and the group of parameters comprises motorcycle kinematic parameters; determining, based on the determined values of the multiple RTI parameters, the estimated radius of the motorcycle turn; and performing a driving related operation based on the estimated radius of the motorcycle turn.

Abstract: A method for providing an audio-based model of an environment of a vehicle, the method may include obtaining, during a driving session of a vehicle, sensed information about the environment of the vehicle; wherein the sensed information may include sensed audio information. The sensed information may also include at least one type of non-audio sensed information; and generating an audio-based model of the environment based, at least in part, on the sensed audio information.

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: 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: Systems, and method and computer readable media that store instructions for obtaining a first group concept structure that comprises first identifiers of first objects that belong to a first group; obtaining a second group concept structure that comprises second identifiers of second objects that belong to a second group; wherein the first identifiers were generated by processing media units that captured the first objects; wherein the second identifiers were generated by processing media units that captured the second objects; searching for shared pattern segments, each shared pattern segment appears in at least one first identifier and at least one second identifier; wherein a single shared pattern segment is indicative of a match; wherein a single non-shared pattern segment is suffice to represent a match; and responding to a finding of one or more shared pattern segments.

Abstract: A method that may include receiving driving information and environmental metadata indicative of information sensed by the vehicle; detecting multiple driving events encountered during the driving over the path; determining driving events; for each driving event, determining a comfort based autonomous driving pattern information; for each driving event, determining an driving event identifier; and storing in at least one data structure a driving event identifier for each one of the multiple types of driving events, and a comfort based autonomous driving pattern information.

Abstract: A method for face recognition based vehicle access control. The method may include acquiring one or more images of at least a face of a person that is positioned outside the vehicle and accesses a door of the vehicle in order to determine, based on the one or more images, whether the person is allowed to enter the vehicle. The determination may include matching the face of the person to a database of faces of allowed persons. The database is generated during a machine learning process that involves monitoring persons within the vehicle; and then granting access to the vehicle when determining that the person is allowed to enter the vehicle.

Abstract: A method for unsupervised learning of drivable space, the method may include receiving, by a processing circuit, an image of an environment of a vehicle; searching, in the image and by the processing circuit, for a drivable space within the environment of the vehicle, wherein the drivable space is associated with a statistically significant drivable space behavior; wherein the association is learnt by applying an unsupervised learning process; and responding, by the processing circuit, to a finding of the drivable space.

Abstract: Systems, and method and computer readable media that store instructions for calculating signatures, utilizing signatures and the like, wherein for a low-power calculation of a signature, the method comprises: receiving or generating a media unit of multiple objects: processing the media unit by performing multiple iterations, determining a relevancy of the spanning elements of the iteration; completing the dimension expansion process by relevant spanning elements of the iteration and reducing a power consumption of irrelevant spanning; determining identifiers that are associated with significant portions of an output of the multiple iterations; and providing a signature that comprises the identifiers and represents the multiple objects.

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: A system and method for removing contextually identical multimedia content elements. The method includes analyzing a plurality of multimedia content elements to identify at least two multimedia content elements of the plurality of multimedia content elements that are contextually identical; selecting, from among the at least two contextually identical multimedia content elements, at least one optimal multimedia content element; and removing, from a storage, all multimedia content elements of the group of contextually identical multimedia content elements other than the at least one optimal multimedia content element.

Abstract: A method for providing an in-vehicle indication, the method may include obtaining, during a driving session of a vehicle, external audio information about audio generated outside the vehicle; determining whether the audio generated outside the vehicle comprises driving affecting audio; and generating the in-vehicle indication, within the vehicle, when determining that the audio generated outside comprises driving affecting audio. The in-vehicle indication is indicative about the driving affecting audio generated outside the vehicle.

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 system and method for generating analytics for entities depicted in multimedia content, including: identifying at least one social pattern based on social linking scores of a plurality of entities indicated in a social linking graph, wherein each social pattern is identified at least by comparing one of the social linking scores to a predetermined social pattern threshold, wherein each social linking score is generated based on contexts of at least one multimedia content element (MMCE) in which at least two of the plurality of entities are depicted, wherein each context is determined based on a plurality of concepts of one of the at least one MMCE, wherein each concept matches at least one signature generated for the at least one MMCE above a predetermined threshold; and generating, based on the identified at least one social pattern, analytics for the plurality of entities depicted in the social linking graph.

Abstract: There may be provided a method for monitoring potential droplets transmission bases infection events, the method may include (a) obtaining sensed information gathered during a monitoring period; (b) identifying, based on the sensed information, a main suspected person and one or more ejection events during which potentially infectious droplets were ejected from the main suspected person, wherein the main suspected person is suspected of suffering from an infectious disease; (c) detecting one or more secondary suspected persons; wherein each of the one or more secondary suspected persons was potentially infected due to one or more ejection events; wherein the detecting is based, at least on part, on infection parameters; and (d) responding to the detecting of at least one suspected person out of the main suspected person and the one or more secondary suspected persons, wherein the responding comprises at least one out of generating an alert, transmitting an alert, storing an alert, and updating at least one da

Abstract: Systems, and method and computer readable media that store instructions for monitoring potential contact based infection events.