Abstract: A method and system for adaptive video streaming receives inputs by a deep learning neural network engine. The inputs may include a previous lookahead buffer size, previous download time(s), a current buffer size, next available stream size(s), a last chuck quality, a current buffer size, previous download speed(s), a previous lookahead buffer size, a number of chunks remaining, and/or network condition statistics based upon geolocation information. The inputs are processed by the deep learning neural network engine using a neural network machine learning model to adjust a capacity of a buffer lookahead.

Abstract: A method and a system for automatically generating an edited video based on at least one product image and product meta-data provided herein. The method may include the following steps: obtaining the at least one product image and product meta-data linked to one of a plurality of products represented by the at least one product image; automatically analyzing a content of said product images by a computer processor, to yield product content visual analysis; selecting a product visualization instruction set from a plurality of product visualization instruction sets; automatically generating an edited video by applying the product visualization instruction set to the at least one product image and product meta-data; and modifying the edited video based on the product content visual analysis, wherein said modifying affects an attribute of at least some of the product meta-data.

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: Methods, systems, and computer program products for classifying a spatial format of a video file. The system includes one or more processors and a memory coupled to the processors. The memory stores data comprising program code that, when executed by the processors, causes the system to allow video sharing platforms to support multiple formats without asking users to manually identify the format of the video.

Abstract: A method and a system for automatic video production are provided herein. The method may include the following steps: obtaining a set of media entities, wherein at least one of the media entities comprises a background and at least one foreground object; automatically analyzing the media entities using visual analysis; automatically selecting at least two visual portions, based on the visual analysis; computing, for at least one of the visual portions, semantic segmentation indicative of a support of the at least one foreground object, based on the visual analysis; generating at least one visual effect in which the foreground object and the background undergo two different visual operations; and generating a video production by combining a plurality of the visual portions into one video production, while including the at least one visual effect in the video production.

Abstract: A method and a system for automatically generating a product visualization using video, based on meta data obtained from a content management system (CMS) are provided herein. The method may include: obtaining product images and meta-data linked to the product from the CMS; selecting a product visualization instruction set; modifying the product visualization instruction set based on at least one of: content of the product images, and content of the meta-data linked to the product, by adjusting one or more instructions in the instruction set, to yield a modified product visualization instruction set; applying the modified product visualization instruction set to the product images and the meta-data linked to the product, to generate a visualization of the product, wherein the product visualization includes a sequence of frames wherein at least one of the frames includes one or more of the product images together with visual representation of the meta data.

Abstract: A method and a system for automatic video production are provided herein. The method may include the following steps: obtaining a set of media entities, wherein at least one of the media entities comprises a background and at least one foreground object; automatically analyzing the media entities using visual analysis; automatically selecting at least two visual portions, based on the visual analysis; computing, for at least one of the visual portions, semantic segmentation indicative of a support of the at least one foreground object, based on the visual analysis; generating at least one visual effect in which the foreground object and the background undergo two different visual operations; and generating a video production by combining a plurality of the visual portions into one video production, while including the at least one visual effect in the video production.