KMeD: a knowledge-based multimedia medical distributed database system
Information Systems - Special issue: scientific databases
VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
A Database Approach for Modeling and Querying Video Data
IEEE Transactions on Knowledge and Data Engineering
OVID: Design and Implementation of a Video-Object Database System
IEEE Transactions on Knowledge and Data Engineering
Modeling Dynamic Objects in Video Databases: A Logic Based Approach
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Rule-based spatiotemporal query processing for video databases
The VLDB Journal — The International Journal on Very Large Data Bases
Spatio-temporal querying in video databases
Information Sciences—Informatics and Computer Science: An International Journal
Image-Based Multiclass Boosting and Echocardiographic View Classification
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A Natural Language-Based Interface for Querying a Video Database
IEEE MultiMedia
A Content-Based Query Language for Video Databases
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Automatic view recognition in echocardiogram videos using parts-based representation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Modeling the activity pattern of the constellation of cardiac chambers in echocardiogram videos
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
Video model for dynamic objects
Information Sciences: an International Journal
Accommodating hybrid retrieval in a comprehensive video database management system
IEEE Transactions on Multimedia
Multimedia event-based video indexing using time intervals
IEEE Transactions on Multimedia
State-Based Modeling and Object Extraction From Echocardiogram Video
IEEE Transactions on Information Technology in Biomedicine
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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.