Multimedia Document Mining using Sequential Multimedia Feature Patterns

Abstract

Recent years have witnessed the expeditious progress in multimedia technology and rapid growth of multimedia documents. The enormous amount of multimedia documents require sophisticated multimedia mining methods to analyze and utilize the multimodal information. The multimodal objects of a multimedia document are described by the patterns of features. The feature pattern sequences are used to identify the contextual information of the multimedia documents. In this paper, we propose an approach for the discovery of sequential feature patterns from the multimedia documents. The sequential multimedia feature pattern mining generates the multimedia class sequential rules that are used to classify the multimedia documents. The efficiency of the proposed sequential multimedia feature pattern mining is evaluated by experimenting with four datasets of multimedia documents. Experimental results demonstrate that the proposed sequential feature pattern mining can be efficiently used for the knowledge mining from multimedia documents. © 2020 IEEE.