Interpreting and semantically describing Chinese traditional brocade: Xilankapu

Abstract

Purpose The purpose of this paper is to introduce an interpreting schema and semantic description framework for a collection of images of Xilankapu, a traditional Chinese form of embroidered fabric and brocade artwork. Design/methodology/approach First, the authors interpret the artwork of Xilankapu through Gillian Rose’s “four site” theory by presenting how the brocades were made, how the patterns of Xilankapu are classified and the geometrical abstraction of visual images. To further describe the images of this type of brocade, this paper presents semantic descriptions that include objective–non-objective relations and a multi-layered semantic framework. Furthermore, the authors developed corresponding methods for scanning, storage and indexing images for retrieval. Findings As exploratory research on describing, preserving and indexing images of Xilankapu in the context of the preservation of cultural heritage, the authors collected 1,000+ images of traditional Xilankapu, classifying and storing some of the images in a database. They developed an index schema that combines concept- and content-based approaches according to the proposed semantic description framework. They found that the framework can describe, store and preserve semantic and non-semantic information of the same image. They relate the findings of this paper to future research directions for the digital preservation of traditional cultural heritages. Research limitations/implications The framework has been designed especially for brocade, and it needs to be extended to other types of cultural image. Originality/value The semantic description framework can describe connotative semantic information on Xilankapu. It can also assist the later information retrieval work in organizing implicit information about culturally related visual materials.

Data modeling and evaluation of deep semantic annotation for cultural heritage images

“…Of the three, analysis of the image itself focuses on image content. Based on this framework, Cheng et al (2019) designed an interpreting schema and semantic description framework for the image collection of Xilankapu, the traditional Chinese form of fabric artwork. Targeting art images, Huang et al (2015) proposed a semantic analysis framework with three facets (layers of image topicality, perspectives on image topicality and image topicality relationships) to provide guidance for deep semantic indexing of art images.…”

Semantic Analysis and Quantitative Application of Xinjiang Unearthed Brocade Patterns

“…In the current literature, there are a few works regarding semantic mining and application of brocade patterns. For instance, Cheng X et al [2] introduced the classification of Xilankapu through semantic description and interpreted the image connotation [2]. Qin Z et al [3] extracted and selected the patterns of Dong brocade based on Extenics theory and applied them into a new pattern design [3].…”