Data Model of Echocardiogram Video for Content Based Retrieval

In this work we propose a new approach for modeling and management of echocardiogram video data. We introduce a hierarchical state-based model for representing an echo video using objects present and their dynamic behaviors. At first the echo video is segmented based on ‘view’, which describes the presence of objects. Object behavior is described by states and state transition using state transition diagram. This diagram is used to partition each view segment into states. We apply a novel technique for detecting the states using Sweep M-mode. For efficient retrieval of information, we propose indexes based on views and states of objects. The proposed model thus helps to store information about similar types of video data in a single database schema and supports content based retrieval of video data.