Check patentability & draft patents in minutes with Patsnap Eureka AI!

Network video copyright auction method

An online video and video technology, applied in the field of online video, can solve the problems of insufficient market vitality, high prices, and difficulty in making profits, and achieve the effect of improving transfer efficiency, improving capital vitality, and broadening business scope.

Pending Publication Date: 2020-10-16
UNIV OF SCI & TECH OF CHINA
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the scale of online video users in my country is growing rapidly, including traditional long-term video users who watch TV dramas and variety shows, and emerging online short-video users. difficult situation
Exclusive video copyright is one of the important means for my country's video websites to attract viewers, increase website traffic and enhance monetization capabilities, so the competition for online video copyright is very fierce and the price is high
[0003] On the one hand, video platforms with more capital blindly purchase exclusive video copyrights, the cost is too high, and most videos are difficult to recover costs, resulting in unnecessary losses; The lack of vitality in the entire industry market, opaque online video copyright transfer market and unreasonable video copyright prices have seriously hindered the long-term development of online video platforms, and there is no effective solution in the existing technology

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Network video copyright auction method
  • Network video copyright auction method
  • Network video copyright auction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0015] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings, as figure 1 Shown is a schematic flow chart of the bidding method for network video copyright provided by the embodiment of the present invention, and the method includes:

[0016] Step 1. Obtain the video information and copyright owner-related information of the online video to be auctioned;

[0017] In this step, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a network video copyright auction method. The method comprises the steps: obtaining video information of a to-be-aucted network video and copyright party related information; acquiring related information of each purchaser intending to purchase the to-be-auctioned network video; expanding and constructing an expected income model based on a Hotelling model, and selecting abidding mode of each purchaser by utilizing the constructed expected income model; and performing auction on the to-be-auctioned network video according to the bidding mode selected by each purchaser,and estimating the profit of the final video purchaser according to the auction result. The method improves the network video copyright transfer efficiency, reduces the fund threshold of purchasing the video copyright by a small platform, facilitates the improvement of the fund vitality of the network video market, and widens the business range of the copyright market.

Description

technical field [0001] The invention relates to the technical field of network video, in particular to a bidding method for network video copyright. Background technique [0002] At present, the scale of online video users in my country is growing rapidly, including traditional long-term video users who watch TV dramas and variety shows, and emerging online short-video users. tough situation. Exclusive video copyright is one of the important means for my country's video websites to attract viewers, increase website traffic, and enhance monetization capabilities. Therefore, the competition for online video copyrights is very fierce and the price is high. [0003] On the one hand, video platforms with more capital blindly purchase exclusive video copyrights, the cost is too high, and most videos are difficult to recover costs, resulting in unnecessary losses; The lack of vitality in the entire industry market, the opaque online video copyright transfer market and unreasonable...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/08G06Q30/06
CPCG06Q30/0611G06Q30/08
Inventor 朱世伟凌六一
Owner UNIV OF SCI & TECH OF CHINA
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More