Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Content-based video retrieval is one of the most challenging areas of research in information sciences. Here  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 ll 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.
['Aditi Roy', 'Shamik Sural', 'Jayanta Mukherjee', 'Arun K. Majumdar']
I am writing a research paper on a idea A hierarchical approach for content-based echocardiogram video indexing and retrieval
[{"from": "human", "value": "I am writing a research paper on a idea A hierarchical approach for content-based echocardiogram video indexing and retrieval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Content-based video retrieval is one of the most challenging areas of research in information sciences. Here  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 ll 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."}]