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AUTOMATIC SEMANTIC ANNOTATION OF IMAGES USING SPATIAL HIDDEN MARKOV MODEL Saying Yu1 and Horace H S Ip1,2 Image Computing Groups, Department of Computer Science Center for Innovative Applications
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What is automatic semantic annotation of?
Automatic semantic annotation of is a process that involves assigning tags or labels to data elements in order to provide metadata that describes their meaning or semantic content.
Who is required to file automatic semantic annotation of?
There is no specific entity or individual required to file automatic semantic annotation of. It is a process that can be done by any organization or individual who wants to enhance the understanding and retrieval of their data.
How to fill out automatic semantic annotation of?
Automatic semantic annotation can be filled out by using various software tools or algorithms that analyze the data and assign appropriate tags or labels based on the content and context of the data.
What is the purpose of automatic semantic annotation of?
The purpose of automatic semantic annotation is to improve the organization, searchability, and interoperability of data by providing a standardized way of describing the meaning and context of data elements.
What information must be reported on automatic semantic annotation of?
The information reported on automatic semantic annotation may vary depending on the specific use case and requirements. Typically, it includes metadata such as tags, labels, keywords, and other descriptive elements that provide information about the meaning and context of the data.
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