Invention Grant
- Patent Title: Dynamic buffer lookahead in adaptive streaming using machine learning
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Application No.: US17194778Application Date: 2021-03-08
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Publication No.: US12158872B2Publication Date: 2024-12-03
- Inventor: Fengjiao Peng
- Applicant: Vimeo, Inc.
- Applicant Address: US NY New York
- Assignee: Vimeo, Inc.
- Current Assignee: Vimeo, Inc.
- Current Assignee Address: US NY New York
- Agency: BakerHostetler
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/22 ; G06N3/04 ; G06N3/08

Abstract:
A method and system for adaptive video streaming receives inputs by a deep learning neural network engine. The inputs may include a previous lookahead buffer size, previous download time(s), a current buffer size, next available stream size(s), a last chuck quality, a current buffer size, previous download speed(s), a previous lookahead buffer size, a number of chunks remaining, and/or network condition statistics based upon geolocation information. The inputs are processed by the deep learning neural network engine using a neural network machine learning model to adjust a capacity of a buffer lookahead.
Public/Granted literature
- US20210279222A1 Dynamic Buffer Lookahead in Adaptive Streaming Using Machine Learning Public/Granted day:2021-09-09
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