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A hierarchical approach for content-based echocardiogram video indexing and retrieval

Published: 12 February 2011 Publication History

Abstract

Content-based video retrieval is one of the most challenging areas of research in information sciences. Here we present a new method for efficient indexing, storage and retrieval of echocardiogram video data. The architecture and implementation details of the system have been discussed. A hierarchical state based indexing scheme has been used for faster retrieval of information related to states of objects present in echo video. In video segmentation phase, views as well as states and sub-states of objects in a video are identified. Accordingly, schemas are populated. An object-relational database approach has been adopted to store object information into a backend RDBMS. The proposed video query language can be used to compose queries based on video contents using annotations, states, events, spatial or temporal relations. For ease of specifying query, a user friendly interface has been provided. Retrieved segments can be played back one at a time in a separate window.

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      cover image ACM Other conferences
      ICCCS '11: Proceedings of the 2011 International Conference on Communication, Computing & Security
      February 2011
      656 pages
      ISBN:9781450304641
      DOI:10.1145/1947940
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 12 February 2011

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      Author Tags

      1. echocardiogram video
      2. query language
      3. video retrieval

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