Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The wide proliferation of porful smart phones equipped with multiple sensors, 3D graphical engine, and 3G connection has nurtured the creation of a new spectrum of visual mobile applications. These applications require novel data retrieval techniques which  call What-You-Retrieve-Is-What-You-See (WYRIWYS). Hover, state-of-the-art spatial retrieval methods are mostly distance-based and thus inapplicable for supporting WYRIWYS. Motivated by this problem,  propose a novel query called spatio-visual keyword (SVK) query, to support retrieving spatial b objects that are both visually conspicuous and semantically relevant to the user. To capture the visual features of spatial b objects with extents,  introduce a novel visibility metric which computes object visibility in a cumulative manner.  propose an incremental method called Complete Occlusion-map based Retrieval (COR) to ansr SVK queries. This method exploits effective heuristics to prune the search space and construct a data structure called Occlusion-Map. Then the method adopts the best-first strategy to return relevant objects incrementally. Extensive experiments on real and synthetic data sets suggest that our method is effective and efficient when processing SVK queries.
['Chao Zhang', 'Lidan Shou', 'Ke Chen', 'Gang Chen']
I am writing a research paper on a idea See-to-retrieve: efficient processing of spatio-visual keyword queries
[{"from": "human", "value": "I am writing a research paper on a idea See-to-retrieve: efficient processing of spatio-visual keyword queries"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The wide proliferation of porful smart phones equipped with multiple sensors, 3D graphical engine, and 3G connection has nurtured the creation of a new spectrum of visual mobile applications. These applications require novel data retrieval techniques which  call What-You-Retrieve-Is-What-You-See (WYRIWYS). Hover, state-of-the-art spatial retrieval methods are mostly distance-based and thus inapplicable for supporting WYRIWYS. Motivated by this problem,  propose a novel query called spatio-visual keyword (SVK) query, to support retrieving spatial b objects that are both visually conspicuous and semantically relevant to the user. To capture the visual features of spatial b objects with extents,  introduce a novel visibility metric which computes object visibility in a cumulative manner.  propose an incremental method called Complete Occlusion-map based Retrieval (COR) to ansr SVK queries. This method exploits effective heuristics to prune the search space and construct a data structure called Occlusion-Map. Then the method adopts the best-first strategy to return relevant objects incrementally. Extensive experiments on real and synthetic data sets suggest that our method is effective and efficient when processing SVK queries."}]