Method for extracting landmark scene abstract

Abstract

The invention discloses a method for extracting a landmark scene abstract, which comprises the following steps of: extracting color moment and ripple lamination of each landmark scene image as global feature of the landmark scene image, and extracting a SIFT descriptor as the local feature of the landmark scene image; performing initial clustering to a landmark scene image library through the global feature according to the two dimension feature of the image; selecting a plurality of representative images closest to the clustering center from each cluster to the initial clustering result through the local feature, and performing pair matching for the representative images for saliency-based geometric verification; after the geometric verification; extracting the landmark image from each cluster aggregate; and performing geometric matching and screening to the landmark image of the area interested by the user in the selected landmark scene images through the geometric verification of clusters, and gathering the landmark images with same or similar visual angles, thus realizing the mixing of the similar clusters, and extracting the landmark scene abstract.

Description

technical field [0001] The invention relates to an image content analysis method, a significance detection method, a network multimedia analysis method and the like. Background technique [0002] In recent years, with the progress and promotion of science and technology, especially the rapid development of multimedia technology and computer network technology, human beings have entered a highly informational age. All kinds of multimedia information on the network continue to expand, especially the intuitive and vivid digital images are growing at an alarming rate. In the face of massive image information, how to effectively manage and utilize it has become an urgent problem to be solved. [0003] Given a specific query, a collection of images related to the query can be easily obtained from a massive image library using existing image retrieval techniques. However, due to the large number of query results, how to present the query results to the user in a concise manner, s...

AI Technical Summary

Problems solved by technology

The limitation of this type of method is that when extracting the iconic image, it only starts from the representation of the image in the cluster, without considering the perception of the user as an image viewer and the characteristics of the image itself, which often leads to the selection of the iconic image. Deviation from the user's browsing needs

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