Abstract:Image Processing is fundamental for any camerabased vision system. In order to automate the prototyping process of image. Processing solutions to, some extend we propose a holistic adaptive approach, that comprises concepts, for specification. ,,, composition recommendation execution and rating of image processing functionality. The fundamental idea is to realize. Image processing applications according to Service-oriented Computing design principles. That is distinct image, processing. Functionality is encapsulated in terms of stateless services. Services are then used as building blocks for more complex. Image processing functionality. To automatically compose complex image, processing functionality our proposed approach incorporates. A flexible Artificial Intelligence, planning-based forward search algorithm. Decision-making between alternative composition. Steps is supported by a learning recommendation system which keeps, track of valid composition steps by automatically constructing. A composition grammar. In addition it adapts, to solutions of high quality by means of feedback-based Reinforcement Learning. Techniques. A concrete use case serves as proof of concept and demonstrates the feasibility of, our holistic adaptive approach.
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