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System and method of intelligent loading videos under mobile network Disclosure Number: IPCOM000243912D
Publication Date: 2015-Oct-28
Document File: 3 page(s) / 81K

Publishing Venue

The Prior Art Database


This artical is to solve the downloading video volumn in the non-wifi environment.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

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System and method of intelligent loading videos under mobile network

This invention solves the problem of video loading under mobile network. We all know that mobile phone is used to watch video more and more frequently during our way to work or way to somewhere. But the charge of mobile network is expensive and normally loading a video costs too much. And when we get home or get to work or get to any destination, we may not want to continue to watch the video and the volume that has been loaded but not watched is a big waste. Our intelligent system can work with GPS to calculate the minimal demand of mobile network. We also have a startup volume which can give the user a chance to discard or continue watching this video. This solution can maximally reduce the waste of volume under mobile network.

This invention is about an intelligent system to download videos cashes smartly in non-WIFI environment. It can define the minimum cashes amount needed according to the real-time location info from mobile device GPS and the personalized travel route. It can greatly save network flow and the download time of the video, also reduce the mobile network traffic cost, and meet users' personalized requirement when they are in different travel routes.

The solution is to reduce the data flow in a smart way, reducing the communication fee and satisfy the user's request to view a video/audio and other big files via wireless network.

The solution is working in the following ways to save the data flow:

1. Filter the resources

Filter the resources by allowing the user to view a short fragment of it, then determine whether to download the resource.

Filter the resources according to a keywords list set by the user

2. Manually select the fragments to download according to the user's request

For example, the user could select to...