Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Semantic spaces encode similarity relationships beten objects as a function of position in a mathematical space.  discusses three different formulations for building semantic spaces which allow the automatic-annotation and semantic retrieval of images. The models discussed in this paper require that the image content be described in the form of a series of visual-terms, rather than as a continuous feature-vector. The paper also discusses how these term-based models compare to the latest state-of-the-art continuous feature models for auto-annotation and retrieval.
['Jonathon S. Hare', 'Sina Samangooei', 'Paul H. Lewis', 'Mark S. Nixon']
I am writing a research paper on a idea Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces
[{"from": "human", "value": "I am writing a research paper on a idea Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Semantic spaces encode similarity relationships beten objects as a function of position in a mathematical space.  discusses three different formulations for building semantic spaces which allow the automatic-annotation and semantic retrieval of images. The models discussed in this paper require that the image content be described in the form of a series of visual-terms, rather than as a continuous feature-vector. The paper also discusses how these term-based models compare to the latest state-of-the-art continuous feature models for auto-annotation and retrieval."}]