Method and system for searching for two-dimensional cross-media element

Abstract

The invention discloses a method and a system for searching for a two-dimensional cross-media element, and belongs to the field of information search. In the element search method, fusion operation such as combining, weighing and the like are performed on a search result set provided for different sub-search models based on inquiry clustering and result set overlap analysis so as to finally obtain a single search result set. The element search method comprises a preprocessing stage, an inquiry classifying stage, a search executing stage, an infusion stage and an updating stage. The cross-media element search method provided by the invention can effectively modify search performance according to the similarity of similar inquiries in the aspects of characteristic, the similarity of research result infusion mode, search result set overlap characteristic of different sub-search models and the like at the same time, and has superior search performance than single-dimensional cross-media search methods.

Description

technical field [0001] The present invention relates to a cross-media meta-search method and system, in particular to a two-dimensional cross-media meta-search method and system based on query clustering and result set overlap analysis, belonging to the field of information retrieval, specifically to the field of cross-media retrieval. Background technique [0002] The purpose of cross-media retrieval is to use various features such as text and content to retrieve matching multimedia documents from massive data. [0003] Text-based retrieval mainly compares the text query submitted by the user with the text in the dataset, and then uses a specific model to return document similarity information to the user. Text retrieval can directly obtain the high-level semantics of multimedia documents and achieve high precision and recall, but it has some insurmountable defects: [0004] (1) The ambiguity of the text. The ambiguity of the vocabulary leads to a decrease in the precisio...

AI Technical Summary

Problems solved by technology

However, due to the difficulty in establishing the connection from low-level features to high-level semantics, the accuracy of content-based retrieval is low.

[0007] There are still many deficiencies in the current multimedia retrieval, mainly for single media such as images, MP3 or video, and cross-media semantic analysis and fusion between multiple media sources are usually ignored

Images