The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 27, 2026

Filed:

Nov. 08, 2022
Applicant:

Peking University, Haidian District Beijing, CN;

Inventors:

Zongming Guo, Haidian District Beijing, CN;

Han Hu, Haidian District Beijing, CN;

Xinggong Zhang, Haidian District Beijing, CN;

Sheng Cheng, Haidian District Beijing, CN;

Assignee:

PEKING UNIVERSITY, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/2662 (2011.01); H04N 21/442 (2011.01);
U.S. Cl.
CPC ...
H04N 21/2662 (2013.01); H04N 21/44204 (2013.01);
Abstract

Provided in the present invention are a video transmission quality evaluation and optimization method and system based on user behavior. The method comprises: establishing an exit rate model according to a session duration of a user watching a video, and a playing state of each second; calculating a state transition probability according to playing states of every two adjacent seconds; according to the transition probability and the exit rate, calculating mathematical expectation values of stay durations corresponding to positions, network connection types, CDNs and bitrates within different time periods; and according to a stay duration expectation, for the position and a network connection type of a given user, selecting a bitrate and a CDN which allow the longest stay duration expectation. By means of the present invention, a model is established on the basis of two user behavior metrics, i.e. an exit rate and a stay duration, and video transmission quality scores corresponding to different bitrates and CDNs are evaluated for the specific positions and network connection types of different users, such that a bitrate and a CDN which can optimize the viewing experience of a user are accurately given, and the video transmission quality can be greatly improved.


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