Method for processing and rapidly retrieving inland ship videos based on RFID

Abstract

The invention discloses a method for processing and rapidly retrieving inland ship videos based on RFID. In the method, first, a RFID reader reads RFID electronic tag information on ships passing a monitoring area, and time that the ships get in and out of the area is recorded. Simultaneously, a monitoring camera collects videos of ships passing the filming area and the videos are sent back to a server. For every frame of image, the server judges whether the operation conditions of the ships in the frame raise an exception, and then the videos are compressed and saved, and bytes the frame of image information occupying are obtained. At the same time of saving the monitoring video data, a position of videos with a rated time interval in a whole video stream file is recorded in an index file, and whether an exceptional case occurred in the period of time is also recorded in the index file. The method can establish index files of videos generated by multipoint uninterruptible monitoring in maritime affairs, and can rapidly display the videos of specified time, target ships, and exceptional scenes.

Description

technical field [0001] The invention relates to a video retrieval method, in particular to an RFID-based rapid video retrieval method for inland ships. Background technique [0002] In the modern supervision of inland ships, the video surveillance system has become a common management method. It usually monitors multiple monitoring areas continuously, and saves the captured video digital signals as videos for later reference. These huge video files generate a large amount of The data. Once it is necessary to find the required video data in these large amounts of video files, it is often only possible to search for video clues with crowd tactics. Such work is like finding a needle in a haystack, which makes searchers face great challenges. Existing video retrieval technologies are divided into two types, one is the mature information retrieval technology based on text indexing, such as various search engines, such as Google, Baidu, Bing and Yahoo, etc. are all based on this ...

AI Technical Summary

Problems solved by technology

Existing video retrieval technologies are divided into two types, one is the mature information retrieval technology based on text indexing, such as various search engines, such as Google, Baidu, Bing and Yahoo, etc. are all based on this technology, but in When expressing content and concepts in text, it is very difficult to convert human search intentions into queries that can be easily understood by computers; the other is content-based video retrieval, which must first perform video shot segmentation, key frame extraction, shot Clustering, after these processes, the content of video segments can be compared by comparing the feature space between video segments, but due to the variety and complexity of video content, video retrieval is difficult and inefficient

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