Knowledge-Based Image Retrieval with Spatial and Temporal Constructs

e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on feature values in the databases and hence are scalable to large collections of image features. Further, since TAHs are generated based on user classes and applications, they are context - and user-sensitive. A knowledge-based semantic image model that provides a mechanism for accessing and processing spatial, evolutionary, and temporal indexing techniques is also being developed. A stream is used to represent chronological sets of medical data. A stream-based model is used to increase flexibility in data representation and ease data. A temporal indexing scheme with continuity has been developed using timewarping distance, suffix tree, and categorization to search for similar sequences of images. Further, a visual query language has also been implemented that will accept point-click-and-drag iconic input on t...

• Type: Conference
• Year: 1997
• Where: ISMIS
• Authors: Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
• Keywords: Artificial Intelligence, Image Features, ISMIS 1997, Temporal Indexing, Temporal Indexing Techniques