System and method for realizing video knowledge acquisition and marking function of portable-type device

Abstract

The invention relates to a system and a method for realizing a video knowledge acquisition and marking function of a portable-type device, which belongs to the technical field of computer application. The system comprises a resource input module, a structuralized description module, a marking device module, a two-direction cutting module and a central control module. In the method, the structuralized description module generates structuralized description data; the marking device module conducts coarseness mark on a video and a picture file according to the structuralized description data; the video and the picture file are classified into a plurality of video clips with different semantics or different areas in a picture according to the coarseness mark; and then fineness mark is conducted for the video and the picture file. Due to the adoption of the system and the method, the subjective influence of the manual device mark standard on the video marking can be reduced, the precision of the video marking can be greatly improved, and convenience for automatically enlarging the video mark training set can be realized; and simplicity and convenience in application way of the system and the method can be realized, the realization cost is low, and the application range is wider.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to the field of video image processing technology, and specifically refers to a system and method for realizing video knowledge collection and labeling functions based on a portable device. Background technique [0002] With the rapid development of computer technology and the Internet, a large number of video devices have been able to conveniently transmit digital video information in batches on portable devices through the Internet, the development and promotion of portable video playback devices (iPad, iPod, iPhone, digital cameras), It is beneficial for users to easily find, share and use various resources in the network anytime and anywhere, such as video movies, surveillance videos, video conferences and video chats. [0003] The mass retrieval and sharing of videos by portable devices has led to research on how to use portable devices to capture and labe...

AI Technical Summary

Problems solved by technology

[0007] 1. A large number of manually labeled video sets are required to form an accurate and complete sample training set

[0008] 2. Due to the strong subjectivity of the manually-labeled video content, different people may not have exactly the same features and labels for the same video, and it is difficult to form a unified standard for manual labeling

[0009] 3. Manually annotated video content has poor scalability. For a video that has never been annotated in the training set without samples, it is necessary to search the original library to extract keywords with similar characteristics and establish features and keywords. The connection between words, this can complete the annotation of the video

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