CAJ | 학술논문

对Web 2．0用户标注系统中图像语义获取进展进行综述，分析社会图像语义获取的主要研究领域，包括标签去噪、自动标注、标签排序以及社会图像的2个典型应用：推荐系统和图像检索。在具体归纳过程中，阐述某技术或算法的主要依据是其被采用的广泛程度以及在大规模网络环境下的可行性，并力争保持内容组织的内在关联及层次特点。通过分析相关研究结果的统计数据及社会网的发展趋势，给出进一步研究思路。
대Web 2．0용호표주계통중도상어의획취진전진행종술，분석사회도상어의획취적주요연구영역，포괄표첨거조、자동표주、표첨배서이급사회도상적2개전형응용：추천계통화도상검색。재구체귀납과정중，천술모기술혹산법적주요의거시기피채용적엄범정도이급재대규모망락배경하적가행성，병력쟁보지내용조직적내재관련급층차특점。통과분석상관연구결과적통계수거급사회망적발전추세，급출진일보연구사로。
This paper provides a comprehensive survey of the semantics extraction from images that is annotated by user in the Web 2.0 system.The main fields of semantics extracted from the social images are generalized , including tags denoising , auto-matic annotation, tag ranking and two application:recommendation system and image retrieval .The rule of selecting source tech-nique mainly bases on its content it is paid much more attention by others and suitability for large -scale network environment , it’ s also done to array the content organization relation and hierarchy characteristic .After the analysis of statistics results from the relevant researchs and social network development trend , summary and next research thought are presented .