Yet, there is little research on integrating retrieval algorithms and interface design for image and video retrieval systems. User interface designers should understand how the retrieval algorithms works so that specific interface features can be designed to take advantage of the algorithms, as well as to compensate for their weaknesses. An early example of integrated design is Qiu et al. (2007) where image features (colors) used in organizing the database images into clusters are directly reflected on the interface, and the indexing keys are used to partition the display areas such that the interface provides an intuitive “mental image” of the database. It is hoped that we will see more such integrated design in the future to advance state of the art in image and video retrieval.
Interactive tools Unlike text retrieval, user intentions in image and video retrieval in most cases are rather vague because it is very difficult to describe visual contents Spain phone number list precisely (Kofler et al., 2016). The retrieval results are therefore often not precise, and it is necessary to refine the query to obtain more accurate results. Interactive tools that enable users to refine queries should form an integral part of an image and video retrieval system. Similarly, a good interactive tool can compensate for the weaknesses of retrieval algorithms.
Therefore, the design of the interactive features should work together with the retrieval algorithms. Again, very little seems to have been done in integrating interactive tools with retrieval algorithms. It is hoped that we will see works integrating interactive tools with retrieval algorithms in the future. 4.3. Presentation and visualisation of resultsto the users will not only affect user experience but also direct determine how quickly users can find what they are looking for. As an image will occupy a larger display area than a word, the number of images that can be displayed on a screen is very limited.
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