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Semantic multi-layer metadata for image annotation

As multimedia information recently increases fast, various types of retrieval of multimedia data are becoming issues of great importance. For the efficient multimedia data processing, semantics-based retrieval techniques are required that can extract the meaning contents of multimedia data. Existing retrieval methods of multimedia data are annotation-based retrieval, feature-based retrieval and annotation, and feature integration based retrieval. These systems take the annotator a lot of effort and time, and we have to perform complicated calculations for feature extraction. Also, user-friendly and semantic searching techniques are not supported. For this purpose, a new interactive tool for multimedia content acquisition and classification has been developed. The user can decompose a given multimedia content into units and easily annotate each until adding basic information such as place, time, locate, etc. as well classification information such as even type, relationship type, etc. according to the MPEG-7 standard. At the end of this production, the tool automatically produces a semantic description of the overall set of the annotated units. The new idea proposed in this work is to combine the intrinsic semantics of each annotated unit with implicit semantic information derived from the structural description, hence reducing the needs to perform complex signal processing operations on the content.