Patent Application

App. No. 17/135,273

Abstract

Claims (43)

1 . A method of automatically generating an edited video being a video which is based on at least one product image and product meta-data obtained from a content management system (CMS), the method comprising:

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, wherein the at least one product image and the meta-data are stored on said CMS;

automatically analyzing a content of said product images by a computer processor, to yield product content visual analysis;

automatically generating an edited video by applying a 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,

wherein said edited video comprises a sequence of frames, and wherein at least one of the frames includes one or more of the product images together with a visual representation of said meta-data.

2 . The method according to claim 1 , wherein the attribute comprises at least one of:

color, size, location, and effect of the visual representation of said meta-data.

3 . The method according to claim 1 , wherein the product meta-data comprises textual product meta-data.

4 . The method according to claim 1 , wherein the product visualization instruction set is configured to generate a product visualization that complies with predefined advertisement format requirements.

5 . The method according to claim 4 , wherein the advertisement format requirements include at least one of: aspect ratio, video duration, and branding specification.

6 . The method according to claim 1 , wherein said one of a plurality of products comprises a product collection which comprises a plurality of products having a common association.

7 . The method according to claim 6 , wherein the common association comprises at least one of: store, manufacturer, brand, event, seller, supplier, and product attribute.

8 . The method according to claim 6 , wherein the edited video exhibits for each product in the product collection, at least one frame that includes the product image and the visualization of the meta-data of said product.

9 . The method according to claim 6 , wherein the edited video comprises at least one frame that includes two or more product images of individual products of the product collection

10 . The method according to claim 1 , wherein said modifying comprises changing of at least one of: a position within the frame of at least one element of the edited video; an order or timing of the frames within the edited video; a design of at least one visual element within the edited video; and a selection of portions from said one or more product images.

11 . The method according to claim 1 , wherein the product visualization instruction set comprises at least one instruction to include at least one product image from a stock library in the edited video, and wherein said product image is selected based on content of the meta-data.

12 . The method according to claim 1 , wherein the meta-data comprises at least one of: product price, product price reduction, product availability, store name, and product user-rating.

13 . The method according to claim 1 , wherein the obtaining from the CMS is carried out via web scrapping or via natural language processing (NLP).

14 . The method according to claim 1 , wherein the edited video comprises a clickable link that associates the product linked to the at least one product image and/or the at least one visual repreparation of the meta-data, with an online marketplace platform.

15 . The method according to claim 1 , wherein the attribute comprises at least one of:

color, size, location, and effect of the visual representation of said meta-data.

16 . A method of automatically generating an edited video being a video which is based on at least one product image and product meta-data obtained from a content management system (CMS), the method comprising:

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, wherein the at least one product image and said meta-data are stored on said CMS;

automatically analyzing a content of said product images by a computer processor, to yield product content visual analysis;

automatically selecting a subset of product images or portions thereof and meta-data based on both the visual analysis and a structure of said CMS, to yield a selected subset of product images or portions thereof and selected meta-data; and

automatically generating an edited video by applying a product visualization instruction set to the selected subset of product images or portions thereof and selected meta-data,

wherein said edited video comprises a sequence of frames, and wherein at least one of the frames includes one or more of the product images together with a visual representation of said meta-data.

17 . The method according to claim 16 , wherein the edited video further comprises visual effects.

18 . The method according to claim 16 , wherein the automatically selecting is based on assigning an important measure to at least some of the product images and/or the meta-data.

19 . A system for automatically generating an edited video being a video which is based on at least one product image and product meta-data obtained from a content management system (CMS), the method comprising:

a computer memory configured to obtain 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, wherein the at least one product image and said meta-data are stored on said CMS; and

a computer processor configured to:

automatically analyze a content of said product images by a computer processor, to yield product content visual analysis;

automatically generate an edited video by applying a product visualization instruction set to the at least one product image and product meta-data; and

modify 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,

wherein said edited video comprises a sequence of frames, and wherein at least one of the frames includes one or more of the product images together with a visual representation of said meta-data.

20 . A non-transitory computer readable medium for automatically generating an edited video being a video which is based on at least one product image and product meta-data obtained from a content management system (CMS), the computer readable medium comprising a set of instructions that when executed cause at least one computer processor to:

obtain 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, wherein the at least one product image and said meta-data are stored on said CMS;

automatically analyze a content of said product images by a computer processor, to yield product content visual analysis;

automatically select a subset of product images or portions thereof and meta-data based on both the visual analysis and a structure of said CMS, to yield a selected subset of product images or portions thereof and selected meta-data; and

automatically generate an edited video by applying a product visualization instruction set to the selected subset of product images or portions thereof and selected meta-data,

wherein said edited video comprises a sequence of frames, and wherein at least one of the frames includes one or more of the product images together with a visual representation of said meta-data.

Assignments (8)