System and method for generating media content in evolutionary manner

• US 10,027,995 B2
• Filed: 11/29/2016
• Issued: 07/17/2018
• Est. Priority Date: 01/21/2016
• Status: Active Grant

• Current Assignee: Treepodia Ltd.
• Original Assignee: Treepodia Ltd.
• Inventors: Rubenczyk, Tal
• Primary Examiner(s): Kumar, Pankaj
• Assistant Examiner(s): NEWLIN, TIMOTHY R
• Application Number:
  US15/362,840
• Publication Number:
  US 20170214946A1
• Time in Patent Office: 595 Days
• CPC Class Codes: H04N 21/234 Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
• CPC Class Codes: H04N 21/236 Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator] into a video stream, multiplexing software data into a video stream; Remultiplexing of multiplex streams; Insertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rate; Assembling of a packetised elementary stream multiplexing of data packets for data networks, e.g. RTP/UDP H04L65/00
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/44204 Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• CPC Class Codes: H04N 21/44222 Analytics of user selections, e.g. selection of programs or purchase activity monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/854 Content authoring

Abstract

The subject matter discloses a system and method for creating content in an evolutionary process derived from genetic algorithms imitating biological natural processes, and for creating new original effective content which is not based only on predefined rules.

Claims

1. A computer-implemented method, comprising:

a. selecting a media content from a data repository;

b. determining said media content as a next generation media content;

c. selecting a visual or an audio attribute of said next generation media content;

d. generating one or more variations from said next generation media content;

wherein each of said variations is distinguished by a certain change in said attribute;

e. broadcasting said one or more variations;

f. measuring performance associated with internet activity related to each of said one or more variations;

g. selecting a most performing variation from said one or more variations in accordance with said measuring;

h. if performance of said most performing variation is greater than performance of previous generations of said media content stored in said data repository, determining said most performing variations as said next generation media content and storing said most performing variation in said data repository; and

i. repeating c-h to create an evolutionary process.

2. The method of claim 1, wherein said generating one or more variations being in accordance with cross over algorithm.

3. The method of claim 1 wherein said media content being an audio file or a video file and further comprising interactively defining said next generation media content.

4. A computer-implemented method, comprising:

at a server system laving one or more processors and memory, the method comprising;

receiving a first media content and a second media content;

selecting a visual or an audio first attribute of said first media content;

selecting a visual or an audio second attribute of said second media content;

generating one or more first variations from said first media content;

wherein each of said one or, more first variations is distinguished by a certain change in said first attribute;

generating one or more second variations from said second media content;

wherein each of said second variations is distinguished by a certain change in said second attribute;

broadcasting said one or more first variations;

measuring first performance associated with Internet activity related to each of said one or more first variations;

selecting a first most performing variation from said one or more first variations in accordance with said first performance;

broadcasting said one or more second variations;

measuring second performance associated with internet activity related to each of said one or more second variations;

selecting a second most performing variation from said one or more second variations in accordance with said second performance; and

combing a first portion associated with said first attribute of said first most performing variation with a second portion associated with said second attribute of said most performing second variation to, thereby defining a next generation media content.

5. A computer-implemented method, comprising:

at a server system having one or more processors and memory, the method comprising;

a. selecting from a data repository a plurality of media contents;

b. determining said plurality of media contents as next generation media content;

c. generating a combined media content;

said generating comprising combining portions from at least two from said next generation media content;

d. broadcasting said combined media content and said next generation media content;

e. measuring performance associated with Internet activity related to each of said broadcasted media content;

f. selecting an at least to most performing media content in accordance with said measured performance;

g. determining said selected most performing media content as next generation media content;

h. storing said selected most performing media content in said data repository; and

i. repeating c-h.

6. The method of claim 5 wherein said repeating is until said measured performance exceeds a threshold.