IMAGE PROCESSING SYSTEMS AND/OR METHODS

• US 20170351713A1
• Filed: 06/01/2017
• Published: 12/07/2017
• Est. Priority Date: 06/03/2016
• Status: Abandoned Application

• Current Assignee: Hamish Charles Robertson, Robin Daniel Chamberlain
• Original Assignee: Hamish Charles Robertson, Robin Daniel Chamberlain
• Inventors: CHAMBERLAIN, Robin Daniel, ROBERTSON, Hamish Charles
• Application Number:
  US15/610,820
• Publication Number:
  US 20170351713A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06F 16/5866 using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06V 2201/10 Recognition assisted with metadata

Abstract

The present invention provides a method (100,200) for identifying, retrieving and/or processing one or more images (12_n) from one or more source network locations (14_n) for display at one or more predetermined target network locations (16_n). The method includes the steps of: acquiring an address (36_n) for each of the one or more source network locations (14_n); perusing data available at each of the one or more source network locations (14_n) to identify one or more images (12_n) suitable for display at the one or more target network locations (16_n); retrieving any images (12_n) identified as being suitable for display at the one or more target network locations (16_n); processing the retrieved images (12_n), as required or desired, in order to adapt the images (12_n) for display at the one or more target network locations (16_n); and, selectively displaying the retrieved and/or processed image or images (12_n) at the one or more target network locations (16_n). Also provided is an associated system (10) for use with the method (100,200) of the invention.

Claims

1. A method for identifying, retrieving and/or processing one or more images from one or more source network locations for display at one or more predetermined target network locations, the method including the steps of:

acquiring an address for each of the one or more source network locations;

perusing data available at each of the one or more source network locations to identify one or more images suitable for display at the one or more target network locations;

retrieving any images identified as being suitable for display at the one or more target network locations;

processing the retrieved images, as required or desired, in order to adapt the images for display at the one or more target network locations; and

, selectively displaying the retrieved and/or processed image or images at the one or more target network locations.

2. The method of claim 1, wherein the step of acquiring an address for each of the one or more source network locations includes:

performing a network and/or database search in response to a search query;

identifying one or more source network locations that contain data related to the search query; and

, obtaining at least the address for each of the one or more source network locations that were identified as part of the network and/or database search.

3. The method of claim 2, further including the step of:

obtaining and/or compiling text-based search results data from/for each of the one of more source network locations that were identified as part of the network and/or database search.

4. The method of claim 3, wherein the step of perusing data available at each of the one or more source network locations to identify one or more images suitable for display at the one or more target network locations includes:

utilising the acquired address or addresses to send network crawlers or algorithmic commands to each of the one or more source network locations to identify and analyse any available images for suitability for display at the one or more target network locations.

5. The method of claim 4, further including the step of:

obtaining and/or compiling text-based data associated with one or more images identified and analysed at each of the one or more source network locations.

6. The method of claim 5, wherein the text-based data associated with the one or more images identified and analysed at each of the one or more source network locations includes:

text-based data extracted from metadata of the one or more images;

text-based data associated with and displayed alongside the one or more images at their respective one or more source network locations; and

/or, text-based data extracted from metadata contained within modules, fields, graphic tiles, blocks or regions provided at the respective one or more source network locations.

7. The method of claim 1, wherein the step of identifying one or more images suitable for display at the one or more target network locations includes one or more of the following processes:

utilising advanced data mining, deep learning, machine learning and/or artificial intelligence to make informed decisions about the existence and suitability of any images available at each source network location;

mining source code data and/or embedded link data available at each source network location to determine the size and order of any available images in order to make decisions about the most appropriate or suitable image or images available at each source network location;

utilising individual or aggregated user data to make determinations about the most appropriate or suitable image or images available at each source network location;

ignoring images of a predetermined and/or unusual shape and/or size;

recognising any advertisements and/or third party embedded logos at each source network location and ignoring any images associated with the/those advertisement/third party logos in favour of the selection of other images available at each source network location;

utilising one or more image tagging protocols to determine the existence and suitability of any images available at each source network location;

scanning and/or analysing metadata of any available image or images to determine the most appropriate or suitable image or images available at each source network location; and

/or, analysing and comparing the characteristics of any available images to that of the characteristics of offensive images to make determinations about the most appropriate or suitable image or images available at each source network location.

8. The method of claim 1, wherein the step of retrieving any images identified as being suitable for display at the one or more target network locations includes:

selectively compressing or reducing the size of the image or images prior to or during retrieval so as to reduce computational overhead or bandwidth usage.

9. The method of claim 5, wherein if it is determined that there is no suitable image or images available at one or more of the source network locations then the method further includes the step of:

obtaining and/or generating a predetermined image or images for each of those source network locations so that the predetermined image or images may be displayed at the one or more target network locations.

10. The method of claim 1, wherein if it is determined that one or more suitable moving images are available at one or more of the source network locations then the method further includes the steps of:

acquiring the identification sting or source location details for each of the moving images;

obtaining and/or generating a thumbnail or other suitable image for each of the moving images for display at the one or more target network locations; and

, utilising the acquired identification string or source location details to enable each of the moving images or a portion thereof to be selectively or automatically played at the one or more target network locations by way of selective or automatic activation of the respective thumbnail or other suitable image.

11. The method of claim 1, wherein the step of processing the retrieved images, as required or desired, in order to adapt the images for display at the one or more target network locations includes one or more of the following processes:

analysing the pixels of each image to determine the highest variation area of pixels, selecting a region of predetermined dimensions surrounding the highest pixel variation area, and then adapting each image by removing the portions of each image that are outside of the selected region;

analysing the file name and/or metadata of each image in order to locate a specified predetermined pixel point which identifies a desired portion of the image that is to be used for display at the one or more target network locations, selecting a region of predetermined dimensions surrounding the specified predetermined pixel point, and then adapting each image by removing the portions of each image that are outside of the selected region;

allowing one or more users to select a region of predetermined dimensions surrounding a desired area of each image, and then adapting each image by removing the portions of each image that are outside of the selected region;

analysing one or more pixels of each image to determine whether or not an image contains areas of transparent or no pixels, and if it is determined that an image contains areas of transparent or no pixels, adapting the image by adding a predetermined contrasting background colour(s) and/or effect(s) to the image; and

/or, analysing the pixels of any partially transparent images in order to determine the portion and/or size of the non-transparent pixels in relation to the total size of the image, selecting a region of predetermined dimensions surrounding the most appropriate portion of the image which contains non-transparent pixels, and then adapting each image by removing the portions of each image that are outside of the selected region.

12. The method of claim 11, wherein the predetermined contrasting background colour(s) and/or effect(s) that is added to one or more of the images determined to contain areas of transparent or no pixels is selected, generated and/or added by way of one or more of the following processes:

analysing the non-transparent pixels of the respective image and generating and adding a contrasting coloured background, or drop shadow or visual effect, to the image which enhances the viewing experience of the non-transparent pixels of the image;

mining source code data available at the source network location that corresponds to the respective image, and generating and adding a contrasting coloured background, or drop shadow or visual effect, to the image which corresponds to, or complements, a theme or dominant feature of other data residing at the source network location; and

/or, analysing the file name and/or metadata of the respective image in order to locate specified predetermined background information which identifies a desired background colour(s), or drop shadow or visual effect that is to be used with that image, and generating and adding a contrasting coloured background, or drop shadow or visual effect, to the image which corresponds to that specified predetermined background information.

13. The method of claim 11, wherein the process of analysing the pixels or areas of any partially transparent images in order to determine the portion and/or size of the non-transparent pixels in relation to the total size of the image, selecting a region of predetermined dimensions surrounding the most appropriate portion of the image which contains non-transparent pixels, and then adapting each image by removing the portions of each image that are outside of the selected region, further includes one or both of the following steps:

reducing the viewable area of the portion of the image that corresponds to the selected region, to a percentage smaller than the full width and/or height of the predetermined dimensions, so as to generate a border area around the non-transparent pixels of each image; and

/or, centering the non-transparent pixel content within the selected region of predetermined dimensions prior to removing the portions of each image that are outside of the selected region.

14. The method of claim 9, further including the step of:

selectively and/or temporarily storing the retrieved and/or processed image or images, the obtained and/or generated predetermined image or images, the text-based search results data, the text-based data associated with the one or more images identified and analysed at each of the one or more source network locations, and/or data pertaining thereto, in at least one repository, so as to streamline future processing in instances where the same source network locations are identified as part of a future network and/or database search.

15. The method of claim 9, wherein the one or more target network locations include one or more network and/or database search applications or GUIs residing on one or more user operable terminals.

16. The method of claim 15, wherein the step of selectively displaying the retrieved and/or processed image or images at the one or more target network locations includes:

selectively displaying the retrieved and/or processed image or images, and/or the obtained and/or generated predetermined image or images, within the one or more network and/or database search applications or GUIs after a network and/or database search has been performed.

17. The method of claim 16, wherein for each source network location that was identified as part of the network and/or database search, the retrieved and/or processed image or images, and/or the obtained and/or generated predetermined image or images, that correspond to that source network location are disposed within at least one activatable tile or region which when selectively or automatically activated links through to the respective source network location.

18. The method of claim 17, further including the step of:

for each source network location that was identified as part of the network and/or database search, selectively displaying the obtained text-based search results data and/or the obtained text-based data associated with the one or more images identified and analysed at the source network location, alongside the corresponding retrieved and/or processed image or images, and/or the corresponding obtained and/or generated predetermined image or images, within the at least one activatable tile or region.

19. The method of claim 17, further including the step of:

for each source network location that was identified as part of the network and/or database search, audibly conveying the obtained text-based search results data and/or the obtained text-based data associated with the one or more images identified and analysed at the source network location, upon request, or upon it being determined that a user is viewing the corresponding retrieved and/or processed image or images, and/or the corresponding obtained and/or generated predetermined image or images, disposed within the at least one activatable tile or region.

20. The method of claim 17, wherein upon selective or automatic activation of the at least one activatable tile or region corresponding to a selected source network location, network content available at that selected source network location is displayed alongside, and simultaneously with, at least selected ones of the activatable tiles or regions so that those activatable tiles or regions remain accessible to a user should they wish to access and view network content associated with a different source network location.

21. The method of claim 20, wherein the activatable tiles or regions are disposed within a region, sidebar or frame of the one or more network and/or database search applications or GUIs.

22. A non-transitory computer readable medium storing a set of instructions that, when executed by a machine, cause the machine to execute a method for identifying, retrieving and/or processing one or more images from one or more source network locations for display at one or more predetermined target network locations, the method including the steps of:

acquiring an address for each of the one or more source network locations;

perusing data available at each of the one or more source network locations to identify one or more images suitable for display at the one or more target network locations;

retrieving any images identified as being suitable for display at the one or more target network locations;

processing the retrieved images, as required or desired, in order to adapt the images for display at the one or more target network locations; and

, selectively displaying the retrieved and/or processed image or images at the one or more target network locations.

23. A system for identifying, retrieving and/or processing one or more images from one or more source network locations for display at one or more predetermined target network locations, the system including:

one or more modules or applications for acquiring an address for each of the one or more source network locations and/or one or more modules, applications or functions for selectively activating one or more external modules or applications for returning an acquired address for each of the one or more source network locations;

one or more modules or applications for perusing data available at each of the one or more source network locations and for identifying and retrieving one or more images suitable for display at the one or more target network locations;

one or more modules or applications for processing the retrieved images, as required or desired, in order to adapt the images for display at the one or more target network locations; and

, one or more modules or applications for selectively displaying the retrieved and/or processed image or images at the one or more target network locations.

24. A method for selecting a desired region of an image to be displayed at one or more predetermined target network locations, the image having specified predetermined pixel point information included within its file name and/or metadata which identifies the desired region of the image that is to be used for display at the one or more target network locations, the method including the steps of:

analysing the file name and/or metadata of the image in order to locate the specified predetermined pixel point information;

selecting a region of predetermined dimensions surrounding, or adjacent to, the specified predetermined pixel point information; and

, adapting the image by removing the portions of the image that are outside of the selected region so that only the desired region of the image may then be displayed at the one or more predetermined target network locations.

25. A method for generating and adding a desired contrasting background colour(s) and/or effect to a partially transparent image, the partially transparent image having specified predetermined background information included within its file name and/or metadata which identifies the desired contrasting background colour(s) and/or effect, the method including the steps of:

analysing the file name and/or metadata of the image in order to locate the specified predetermined background information; and

, generating and adding a contrasting coloured background and/or effect to the image which corresponds to that specified predetermined background information.