CAJ | 학술논문

基于语义的视频检索要处理的两项关键技术就是解决视频低层特征和高层语义概念间的语义鸿沟以及有效的语义提取模型。文中通过对视频进行多层次语义分析，采用有效的语义对象分割方法提取视频中的语义对象，以语义对象为中间层，并融合图像、声音、文本的多模式视频特征，从而缩小语义鸿沟。其次，视频语义概念具有多粒度性，由于本体在表示概念及概念间联系时的优越性，文中提出基于本体的语义提取模型，在从图像、声音、文本中提取出的原子概念中，推理出更高层次的复合概念。最终运用该模型提取的视频语义就具有更丰富的语义层次和语义粒度，从而更接近人类思维中的高层语义概念。
기우어의적시빈검색요처리적량항관건기술취시해결시빈저층특정화고층어의개념간적어의홍구이급유효적어의제취모형。문중통과대시빈진행다층차어의분석，채용유효적어의대상분할방법제취시빈중적어의대상，이어의대상위중간층，병융합도상、성음、문본적다모식시빈특정，종이축소어의홍구。기차，시빈어의개념구유다립도성，유우본체재표시개념급개념간련계시적우월성，문중제출기우본체적어의제취모형，재종도상、성음、문본중제취출적원자개념중，추리출경고층차적복합개념。최종운용해모형제취적시빈어의취구유경봉부적어의층차화어의립도，종이경접근인류사유중적고층어의개념。
There're two key technologies for semantic based video retrieval has to deal with. One is to bridge the semantic gap between low-level features and high-level semantic concepts. The other is to build a effective semantic model. In this paper,based on the multi-level semantic analysis of video,employ an effective object segmentation method on extracting the semantic object in video,and use se-mantic object as the middle level and consider the fusion of multi-model,such as image,sound and text,to bridge semantic gap. Mean-while,videos contain multi-granularity semantic concepts. And since it has superiority to describe concepts and relationships between them,propose a ontology-based semantic model,to reason compound concept of higher level from atomic concepts,which are extracted from image,sound and text. By using this semantic extraction model,can get the video semantics contain richer semantic level and se-mantic granularity. Thus it can be closer to the semantic concepts in human thoughts.