Sentence examples for ranking images from inspiring English sources

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Also, the keyword proximity score ranking technique is just one of the multiple techniques that can be employed while ranking images.

On Thursday at the International World Wide Web Conference in Beijing, two Google scientists presented a paper describing what the researchers call VisualRank, an algorithm for blending image-recognition software methods with techniques for weighting and ranking images that look most similar.

Consider ranking images based on their relevance scores of semantic label ζ to be a single semantic image retrieval, its performance can be evaluated using precision, P, and recall, R (Baeza-Yates and Ribeiro-Neto, 1999).

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"Commercial search-engines often solely rely on the text clues of the pages in which images are embedded to rank images, and often entirely ignore the content of the images themselves as a ranking signal," they say.

During image retrieval, both intra-image and inter-class similarities are combined to rank images.

For each query, we ran the baseline methods and assembled the 30 top ranked images retrieved by each ranking strategy.

The features extracted from localized instances in top ranked images are then used to refine the retrieval results.

The above cluster size analysis was complemented by independent evaluation of the images by a second investigator (also blind to treatments) who ranked images according to cluster size; in all cases, there was a 100% match between these latter qualitative evaluations and the quantitative analysis.

Precision, as described above, is defined as the ratio of number of relevant images in top k ranked images (k = 10 in this study).

A scatter plot of the mean image ranks for the two cities is illustrated in Figure 2. The scatter plot illustrates the differences in mean image ranks: images of teeth with fluorosis have a lower mean rank position in fluoridated Newcastle when compared to non-fluoridated Manchester.

(2) P = n N (3) R = n | ι ζ | where n is the number of images labeled with semantic ζ in a list T ζ of top N ranked images and | ι ζ | ≤ | I | is the total number of images labeled with semantic ζ in database I.

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