DocumentCode :
606058
Title :
ARSA: An archive social annotation tool for content digitization
Author :
Haruechaiyasak, Choochart ; Pailai, Jaruwat
Author_Institution :
Speech & Audio Technol. Lab. (SPT), Nat. Electron. & Comput. Technol. Center (NECTEC), Pathumthani, Thailand
fYear :
2012
fDate :
23-25 Oct. 2012
Firstpage :
779
Lastpage :
784
Abstract :
The process of annotating multimedia contents (such as audio files and image documents) in digital archive requires three types of resource including human, time and money. Today worldwide digital archives have increased in their sizes. As a result, the content annotation would require a large amount of resources. To help reduce the cost associated with the content annotation, we have designed a framework called ARSA (ARchive Social Annotation) to provide a convenient platform for users to annotate digital contents in social networking environment. ARSA adopts the concept of crowdsourcing which allows users to collaborate in content annotation task. The current version of ARSA has been designed and implemented for the Buddhadasa Indapanno Archives (BIA). The contents are in two formats, (1) audio files and (2) image documents of handwritten and typewritten texts. Both contents are related to Buddhadasa´s dhamma teaching. ARSA provides a user-friendly and socially connected interface for volunteers to transcribe audio files and image documents. The transcribed texts could be used to implement a search engine for full-text search or used for preparing printed materials.
Keywords :
human computer interaction; image retrieval; information retrieval systems; social networking (online); text analysis; user interfaces; ARSA framework; BIA; Buddhadasa Indapanno Archives; Buddhadasa dhamma teaching; archive social annotation tool; audio file transcription; content digitization; cost reduction; crowdsourcing; digital archive; handwritten text image documents; image document transcription; multimedia content annotation; search engine; social networking environment; typewritten text image documents; user-friendly-socially connected interface; Content annotation; Facebook; crowdsourcing; digital archive; social networking; transcription;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-0876-2
Type :
conf
Filename :
6528738
Link To Document :
بازگشت