Searching system and searching method for object-based images

Abstract

The present invention relates to a searching system for object-based images, which is capable of effectively searching for a registered image, video, or related information having a similar configuration of object-based information to that of information inputted by a user. The searching system for object-based images according to the present invention is to classify or cluster the registered images or videos on the basis of an object according to feature points or attributes of the feature points, and simply search for a matched registered image or video so as to provide a corresponding result or related information to a user terminal such as a PC, tablet, mobile terminal or connected TV, when a user uploads or searches for, by voice or text, an image or a video via the user terminal.

Description

technical field [0001] The present invention relates to an object-based image retrieval system and retrieval method capable of efficiently retrieving registered images or videos or information related thereto, in which information input by a user is similar in structure to object-based information. Background technique [0002] Generally speaking, the Internet provides efficient and convenient communication and information retrieval tools for many computer users. In particular, recently, when a user uploads an image or video, a search method for comparing and providing a corresponding image or video has been developed, thereby making great progress in retrieving text or image information on the Internet. [0003] However, the above-mentioned retrieval method cannot reflect the information of multiple objects in the image or video proposed by the user, and cannot provide an accurate response to the user due to the lack of application information or misunderstanding in the pro...

AI Technical Summary

Problems solved by technology

[0003] However, the above-mentioned retrieval method cannot reflect the information of multiple objects in the image or video proposed by the user, and cannot provide an accurate response to the user due to the lack of application information or misunderstanding in the process of retrieving similar images. result of original intent

[0004] In addition, in order to minimize information loss in a large-capacity image or video database and quickly retrieve it, a method of summarizing a lot of information is applied, but the retrieval speed is usually slow in proportion to the amount of the DB, and in order to Process more image information per unit of memory usage, with loss of information proportional to it

[0005] In order to overcome the above situation, when classifying a DB composed of images or videos by one-dimensional elements such as color, appearance, texture, pattern, etc., it will make the use cumbersome or seriously damage the accuracy of retrieval.

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