Independent unit combined multimedia information communication method and system

Abstract

The invention discloses an independent unit combined multimedia information communication method and system. The method comprises the following steps: decomposing an original visual file into a plurality of visual information units, and correspondingly decomposing an original auditory file of the original visual file into auditory information units according to the decomposition manner of the original visual file; combining and uploading the visual information units and the auditory information units to a server; and accessing the information units in the server through a terminal. The independent unit combined multimedia information communication method has the beneficial effects that as the multimedia file of multi-dimensional information is decomposed into a plurality of independent information units, the user experience is not reduced in use, and when a certain knowledge point needs to be stored, only the corresponding information unit (a text tag is added) is stored, the interactive statistical data of the required knowledge points can be quickly and accurately enabled during retrieval and review, and the original file can be traced.

Description

technical field [0001] The invention relates to the technical field of Internet and information dissemination, in particular to a method for disseminating multimedia information of independent unit combination type. Background technique [0002] The development of today's society and the fierce competition in various industries force professionals to maintain a state of constant recharging and even lifelong learning. The world has entered the Internet era for more than 20 years. There are many Internet products, such as online multimedia video courses, conferences, learning platforms, radio stations, etc. All multimedia technologies are mature video, audio, live broadcast, PPT and PDF courseware. Compared with the traditional mode of information exchange, this kind of network multimedia learning method greatly improves the efficiency. [0003] After the commercial use of mobile 3G and 4G, it marks that the world has entered the era of mobile Internet. The speed of mobile ne...

AI Technical Summary

Problems solved by technology

[0005] 1. Video material: the information is relatively complete, takes up a lot of storage space, the picture quality is not as good as PPT, and the PDF picture is clear, and it is not easy to retrieve and query knowledge points;

[0006] 2. PPT and PDF courseware: text search is possible, the picture quality is clear, and the storage space is small, but the important information of audio explanation is missing after PPT and PDF are collected, that is, the information after collection is incomplete, which is not conducive to subsequent reuse;

[0007] 3. Audio materials, this is a very convenient way of learning, which can be used in parallel with other affairs, and can use a lot of fragmented time in life, but without visual information such as text and charts, the learning process is easily disturbed, and can only stay in a relatively short time. in shallow learning;

[0008] 4. For electronic reading materials, the information is relatively complete, but reading cannot be paralleled with other transactions, and reading requires exclusive time. The application scenarios are very limited, so the efficiency of information acquisition is very low;

[0009] 5. Whether it is video, PPT and PDF, audio, electronic books, etc., the information with high value or fit is very limited, and it is difficult to accurately extract effective information. No matter what the proportion of useful information in the above materials is, And there is only one way to collect and store, which is to store the entire file, so the current information storage has a very low proportion of valid information

[0010] The purpose of learning knowledge and storing useful information is to use it in the future. If we start collecting and storing information again, it is like finding a needle in a haystack, then the efficiency of learning and storing information in the early stage will be greatly reduced.

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