Interactive physical training video search method based on non-supervision learning and semantic matching characteristic

Abstract

The invention discloses an interactive video retrieval method based on unsupervised learning and semantic matching features, which comprises the steps of extracting image bottom layer features and model matching sequence features from the video image frame level of a video database; extracting semantic matching features from the high-level semantic level of image bottom layer features; performingunsupervised learning on the extracted model matching sequence features and semantic matching features, establishing retrieval and direct retrieval based on unsupervised learning, and forming an interactive interface by related feedback. The middle layer features, high layer features, unsupervised retrieval mechanism and interactive mechanism of an integrated video compose a set of new complete video retrieval system, which precisely measures the time-space sequence information of a video object, therefore better retrieval effect is achieved, the semantic understand of a sports video theme isdeveloped, the online calculating complexity and retrieval time of a system are reduced, and the interactive interface greatly improves the retrieval performance of the system.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to multimedia retrieval technology. Background technique [0002] With the rapid development of multimedia technology and computer networks, multimedia data including digital images, audio, and video are increasing at an alarming rate all over the world. The multi-gigabytes of multimedia data newly generated every day, due to the disorder of its distribution, ruthlessly submerges a large amount of useful information contained in it like a flood. In the face of such rich and massive multimedia resources scattered all over the world, how can users effectively use information and new Internet technologies to quickly locate the required multimedia resources, facilitate access and effectively manage them has become a very urgent problem, which also makes Multimedia retrieval technology has gradually become a very active research field. [0003] Content-based multimedia re...

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Problems solved by technology

[0008] (3) Whether two videos are similar is a very complicated issue. Different users have different understandings, mixed with human subjective factors. To design a reasonable video comparison algorithm, various factors must be considered comprehensively.

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