Systems and methods for converting static image online content to dynamic online content

Abstract

A content conversion computer system for converting static image content to dynamic content includes a memory for storing data and a processor in communication with the memory. The processor is configured to receive a static image content having a plurality of image characteristics, analyze the static image content to determine the plurality of image characteristics, determine a plurality of dynamic content characteristics used for converting the static image content to a dynamic content, and generate the dynamic content based upon the image characteristics and the dynamic content characteristics.

What is claimed is: 
     
         1 . A computer-implemented method for converting static image content to dynamic content, the method implemented using a content conversion computer system coupled to a memory device, the method comprising:
 receiving, at the content conversion computer system, a static image content having a plurality of image characteristics;   analyzing the static image content to determine the plurality of image characteristics;   determining a plurality of dynamic content characteristics used for converting the static image content to a dynamic content; and   generating the dynamic content based upon the image characteristics and the dynamic content characteristics.   
     
     
         2 . The method of  claim 1 , wherein receiving the static image content further comprises retrieving the static image content from an online content repository. 
     
     
         3 . The method of  claim 1 , wherein analyzing the static image content further comprises using an optical character recognition (OCR) engine to identify textual characteristics. 
     
     
         4 . The method of  claim 3 , further comprising determining at least one of headline text and description text. 
     
     
         5 . The method of  claim 1 , wherein analyzing the static image content further comprises using an edge engine to determine image display characteristics. 
     
     
         6 . The method of  claim 1 , wherein analyzing the static image content further comprises using a color engine to determine color characteristics. 
     
     
         7 . The method of  claim 1 , wherein analyzing the static image content further comprises:
 determining that the static image content is a progressive image content having a plurality of static images;   analyzing the static image content associated with each of the plurality of static images to determine a plurality of image characteristics associated with the progressive image content;   determining a plurality of dynamic content characteristics used for converting the plurality of image characteristics associated with the progressive image content to a dynamic content; and   generating the dynamic content based upon the image characteristics and the dynamic content characteristics, wherein the dynamic content is substantially animated based, at least partially, on the progressive image content.   
     
     
         8 . The method of  claim 1 , wherein determining a plurality of dynamic content characteristics used for converting the static image content to a dynamic content further comprises at least one of:
 retrieving the plurality of dynamic content characteristics from the memory; and   receiving the plurality of dynamic content characteristics from a content server.   
     
     
         9 . The method of  claim 1 , wherein generating the dynamic content further comprises:
 generating a plurality of HTML content substantially including the plurality of image characteristics, wherein the plurality of HTML content is associated with a plurality of dimensions and a plurality of orientations.   
     
     
         10 . The method of  claim 1 , wherein generating the dynamic content further comprises:
 generating a plurality of HTML content wherein the HTML content is animated.   
     
     
         11 . A content conversion computer system for converting static image content to dynamic content, the content conversion computer system comprising a memory for storing data, and a processor in communication with the memory, said processor programmed to:
 receive a static image content having a plurality of image characteristics;   analyze the static image content to determine the plurality of image characteristics;   determine a plurality of dynamic content characteristics used for converting the static image content to a dynamic content; and   generate the dynamic content based upon the image characteristics and the dynamic content characteristics.   
     
     
         12 . The content conversion computer system of  claim 11 , wherein the processor is further programmed to:
 retrieve the static image content from an online content repository.   
     
     
         13 . The content conversion computer system of  claim 11 , wherein the processor is further programmed to:
 use an optical character recognition (OCR) engine to identify textual characteristics; and   determine at least one of headline text and description text.   
     
     
         14 . The content conversion computer system of  claim 11 , wherein the processor is further programmed to:
 use an edge engine to determine image display characteristics; and   use a color engine to determine color characteristics.   
     
     
         15 . The content conversion computer system of  claim 11 , wherein the processor is further programmed to:
 determine that the static image content is a progressive image content having a plurality of static images;   analyze the static image content associated with each of the plurality of static images to determine a plurality of image characteristics associated with the progressive image content;   determine a plurality of dynamic content characteristics used for converting the plurality of image characteristics associated with the progressive image content to a dynamic content; and   generate the dynamic content based upon the image characteristics and the dynamic content characteristics, wherein the dynamic content is substantially animated based, at least partially, on the progressive image content.   
     
     
         16 . The content conversion computer system of  claim 11 , wherein the processor is further programmed to:
 retrieve the plurality of dynamic content characteristics from the memory; and   receive the plurality of dynamic content characteristics from a content server.   
     
     
         17 . The content conversion computer system of  claim 11 , wherein the processor is further programmed to:
 generate a plurality of HTML content substantially including the plurality of image characteristics, wherein the plurality of HTML content is associated with a plurality of dimensions and a plurality of orientations.   
     
     
         18 . The content conversion computer system of  claim 11 , wherein the processor is further programmed to:
 generate a plurality of HTML content wherein the HTML content is animated.   
     
     
         19 . A computer-readable storage device, having processor-executable instructions embodied thereon, for converting static image content to dynamic content, wherein the computer includes at least one processor and a memory coupled to the processor, wherein, when executed by the computer, the processor-executable instructions cause the computer to:
 receive a static image content having a plurality of image characteristics;   analyze the static image content to determine the plurality of image characteristics;   determine a plurality of dynamic content characteristics used for converting the static image content to a dynamic content; and   generate the dynamic content based upon the image characteristics and the dynamic content characteristics.   
     
     
         20 . The computer-readable storage device of  claim 19 , wherein the processor-executable instructions cause the computing device to:
 use an optical character recognition (OCR) engine to identify textual characteristics;   determine at least one of headline text and description text;   use an edge engine to determine image display characteristics; and   use a color engine to determine color characteristics.