Multi-source data-based 3D digital preservation of large scale ancient chinese architecture:A case report

The 3D digitalization and documentation of ancient Chinese architecture is challenging because of architectural complexity and structural delicacy.To generate complete and detailed models of this architecture,it is better to acquire,process,and fuse multi-source data instead of single-source data.In this paper,we describe our work on 3D digital preservation of ancient Chinese architecture based on multi source data.We first briefly introduce two surveyed ancient Chinese temples,Foguang Temple and Nanchan Temple.Then,we report the data acquisition equipment we used and the multi-source data we acquired.Finally,we provide an overview of several applications we conducted based on the acquired data,including ground and aerial image fusion,image and LiDAR(light detection and ranging)data fusion,and architectural scene surface reconstruction and semantic modeling.We believe that it is necessary to involve multi-source data for the 3D digital preservation of ancient Chinese architecture,and that the work in this paper will serve as a heuristic guideline for the related research communities.

Research on Modelling Digital Paper-cut Preservation

This paper studies the model of the digital preservation of paper-cut after analyzing the state-of-the-art of the preservation of intangible cultural heritage at home and abroad, focusing on paper-cutting in Hebei, China in a comprehensive approach of sociology, anthropology, folk art, folklore, communication, computer, and information science. Models, methods, and solutions for the preservation and retention of national and folk cultural heritage are proposed. A virtual multimedia interactive system framework of the digital preservation of national and folk cultural heritage is constructed. The standards of paper-cut digitization are studied. The main content of the paper involves： regulated data collection and recording of the scattered Chinese folk paper-cut works in Hebei; digitization, optimization, compression, classification, icon and pattern extraction, vectorization, and work analysis of the first-hand material. This paper also investigates the demonstration, dissemination, database construction, and retrieval of the classified material, icons, and patterns; the demonstration of the reconstruction and application of icon and pattern database; the design and development of an immersive virtual gaming platform of the multi-media scenes and production process of folk paper-cut.

Optical storage： an emerging option in long-term digital preservation

Long-term digital preservation is an important issue in data storage area. For years, magnetic media based solutions, such as tape and hard disk drive （HDD） based archive systems, monopolize the data archiving market due to their high capacity and low cost. However, in the era of big data, rapidly increasing volume, velocity, and variety of data set bring numerous challenges to the archive systems in various aspects, such as capacity, cost, performance, reliability, power consumption, and so on. In recent years, high capacity optical media, such as bluray discs （BDs） and holographic discs, emerge with the revival of optical storage. Due to the natural simple construction of the optical media, the archive systems based on those optical media, e.g., BD library, demonstrate attractive properties, such as cost per bit, reliability, power consumption, and so on, thus become feasible options in long-term digital preservation. In this paper, we reviewed and compared both the magnetic and optical media based solutions for long-term digital preservation, followed by a summarization on techniques to improve the optical media based archive system.

A methodology for measuring the preservation durability of digital formats

It is now widely recognized that appropriate measures are required for digital preservation to ensure that digital data can be accessed and used currently and in the future.Among all the risks of digital preservation,format obsolescence is one of the most important.There have been several projects or initiatives dealing with the measurement method of format obsolescence risk,but there has been no mechanism to quantify the preservation risk or durability of digital formats based on a self-improving assessment model,executed with the aid of computers.This paper deals with a methodology for measuring the preservation durability of digital formats,especially for their risk assessment.This method is based on a quantitative assessment model for format risk,and can shift the non-quantifiable knowledge or experiences of field experts to a machine identifiable and processible form,or 'risk scores'.Results can be recognized and communicated by computers automatically and formally,which can assist in the automatic/semi-automatic risk management for digital preservation,sharing this quantified knowledge among communities. Because technologies are changing quickly,the quantitative assessment model for risks will not be a status quo situation.Thus,also presented is a method to fine tune the quantitative assessment model for risk of formats through a self-learning and self-improving style.

From Paper to Internet:Academic Libraries in Transition

This paper examines the current trends, challenges, and issues facing all libraries, and discusses the strategies that academic libraries, in particular, are taking to transform their services, manage their organizations, and preserve their digital assets. It demonstrates how a network of distributed services, resource sharing, co-investment, and access integration contributes to sustainable library development.