Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The development of an intelligent image content-based search engine for the World-Wide b is presented. This system will offer a new form of media representation and access of content available in the WWW. Information b crawlers continuously traverse the Internet and collect images that are subsequently indexed based on integrated feature vectors. As a basis for the indexing, the K-means algorithm is used, modified so as to take into account the coherence of the regions. Based on the extracted regions, characteristic features are extracted using color texture and shape/region boundary information. These features along with additional information such as the URL location and the date of index procedure are stored in a database. The user can access and search this indexed content through the b with an advanced and user-friendly interface. The output of the system is a set of links to the content available in the WWW, ranked according to their similarity to the image submitted by the user. Experimental results demonstrate the performance of the system.
['Ioannis Kompatsiaris', 'Evangelia Triantafyllou', 'Michael G. Strintzis']
I am writing a research paper on a idea A World Wide Web region-based image search engine
[{"from": "human", "value": "I am writing a research paper on a idea A World Wide Web region-based image search engine"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The development of an intelligent image content-based search engine for the World-Wide b is presented. This system will offer a new form of media representation and access of content available in the WWW. Information b crawlers continuously traverse the Internet and collect images that are subsequently indexed based on integrated feature vectors. As a basis for the indexing, the K-means algorithm is used, modified so as to take into account the coherence of the regions. Based on the extracted regions, characteristic features are extracted using color texture and shape/region boundary information. These features along with additional information such as the URL location and the date of index procedure are stored in a database. The user can access and search this indexed content through the b with an advanced and user-friendly interface. The output of the system is a set of links to the content available in the WWW, ranked according to their similarity to the image submitted by the user. Experimental results demonstrate the performance of the system."}]