Abstract: A method for generating a variant video production from an original video production is provided herein. The method may include the following steps: obtaining an original video production made of a plurality of visual assets being video cuts and/or images and at least one original audio track; automatically analyzing content of the original video production, to separate said visual assets; automatically detecting and storing editing operations applied on the visual assets during creation of the original video production; and automatically generating a variant video production based on at least some of the separated visual assets, wherein only some of the separated visual assets retain respective editing operations applied on the visual assets during the creation of the original video production.

Abstract: A method and a system for automatically generating a video clip from one or more still images are provided herein. The method includes: obtaining one or more images containing at least one object over a background; detecting at least one object in the one or more images; deriving one or more relationships between at least two of: the background, the at least one object, or a portion thereof; determining, based on the derived one or more relationships, a spatio-temporal arrangement of at least two of: at least one portion of said one or more images, the at least one detected object, or a portion thereof; and producing a clip based on the determined spatio-temporal arrangement. The system may implement the method over a smartphone platform.

Abstract: A method and system for modifying video editing parameters based on users satisfaction. The method may include the following steps: maintaining a plurality of video editing parameters; obtaining from a plurality of users, a plurality of footage sets each set comprising at least one of: a video sequence, and a still image; editing the plurality of footage sets, based on the plurality of video editing parameters, to yield respective edited videos; deriving user-satisfaction indicators from the plurality of users, responsive to viewing the respective edited videos; and automatically modifying at least one of the video editing parameters, based on the user-satisfaction indicators, to yield modified video editing parameters.

Abstract: A method and a non-transitory computer readable medium that stores instructions for: receiving a group of media entities; receiving a scribble; applying media editing commands on the group of the media entities to provide a media stream, wherein the media editing commands comprise at least one scribble-selected media editing command that is selected in response to the scribble.

Abstract: A system and a method for semi-automatic video editing is provided herein. The method may include in one embodiment the following steps: processing a media stream comprising at least one of: a plurality of images and a video stream, to extract metadata relating to at least one characteristic of the media stream; displaying to a user the extracted metadata; receiving from the user an instruction to generate a modified media stream wherein said instruction is responsive to the at least one characteristic represented by the extracted metadata; and generating a modified media stream, in response to said instruction. The system may implement the aforementioned method using a computer processor, a display, and a user interface.

Abstract: A non-transitory computer readable medium that stores instructions that cause a computerized system to: acquire at least one picture; analyze the at least one picture to provide analysis result; suggest to a user to acquire at least one other picture, if the analysis result indicates that there is a need to acquire at least one other picture; acquire the at least one other picture if instructed by the user; receive from the user metadata related to an acquired picture, the acquired picture is selected out of the at least one picture and the at least one other picture; and process the acquired picture in response to the metadata.

Abstract: A method and a system for automatic B-roll editing of video production are provided herein. The method may include: obtaining a plurality of media entities comprising at least one video entity having a visual channel and an audio channel; analyzing the media entities, to produce content-related data indicative of a content of the media entities; automatically selecting at least a first and a second visual portion and an audio portion, wherein the first visual and the audio portions are synchronized and have non-identical durations, and wherein the second visual and the audio portions are non-synchronized; and creating a video production by combining the automatically selected visual portions and audio portions.

Abstract: A non-transitory computer readable medium that stores instructions that cause a computerized system to: process a media stream to extract metadata about characteristics of the media stream; display to a user the metadata; receive from the user an instruction to generate a modified media stream that is responsive to at least one characteristic that is represented by the metadata; and process the media stream to generate a modified media stream, in response to the instruction.

Abstract: A method for capturing important objects with a camera may include the following steps: non-selectively capturing an incoming sequence of images using an image capturing device; analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more images; automatically deciding, in real time, on selectively capturing a new image wherein the selective capturing is carried out differently than the non-selective capturing, whenever the metrics of the objects meet specified criteria; and determining at least one object as an important object, wherein said determining associates the selected object with a level of importance and wherein said metrics are calculated only for the at least one important object.

Abstract: A method and a system for automatic generation of clips from a plurality of images based on inter-object relationships score are provided herein. The method may include: obtaining a plurality of images, wherein at least two of the images contain at least one object over a background; analyzing at least some of the images to detect objects; extracting geometrical meta-data of at least some of the detected objects; calculating an inter-object relationships score for at least some of the detected objects; and determining a spatio-temporal arrangement of at least some of the objects and at least some of the images based at least partially on the inter-object relationships score and the geometrical meta-data of at least some of the detected objects.

Abstract: A method for capturing important objects with a camera may include the following steps: non-selectively capturing an incoming sequence of images using an image capturing device; analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more images; automatically deciding, in real time, on selectively capturing a new image wherein the selective capturing is carried out differently than the non-selective capturing, whenever the metrics of the objects meet specified criteria; and determining at least one object as an important object, wherein said determining associates the selected object with a level of importance and wherein said metrics are calculated only for the at least one important object.

Abstract: A method for determining a predictability of a media entity portion, the method includes: receiving or generating (a) reference media descriptors, and (b) probability estimations of descriptor space representatives given the reference media descriptors; wherein the descriptor space representatives are representative of a set of media entities; and calculating a predictability score of the media entity portion based on at least (a) the probability estimations of the descriptor space representatives given the reference media descriptors, and (b) relationships between the media entity portion descriptors and the descriptor space representatives. A method for processing media streams, the method may include: applying probabilistic non-parametric process on the media stream to locate media portions of interest; and generating metadata indicative of the media portions of interest.