Image-based semantic distance
First Claim
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1. A computer-implemented process for establishing a measure of an image-based semantic distance between semantic concepts, comprising:
- using a computer to perform the following process actions;
respectively computing a semantic concept representation for each concept based on images associated with the concept; and
computing a degree of difference between two semantic concept representations to produce said image-based semantic distance measure for the pair of corresponding semantic concepts.
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Abstract
Image-based semantic distance technique embodiments are presented that involve establishing a measure of an image-based semantic distance between semantic concepts. Generally, this entails respectively computing a semantic concept representation for each concept based on a collection of images associated with the concept. A degree of difference is then computed between two semantic concept representations to produce the aforementioned semantic distance measure for the pair of corresponding concepts.
11 Citations
20 Claims
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1. A computer-implemented process for establishing a measure of an image-based semantic distance between semantic concepts, comprising:
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using a computer to perform the following process actions; respectively computing a semantic concept representation for each concept based on images associated with the concept; and computing a degree of difference between two semantic concept representations to produce said image-based semantic distance measure for the pair of corresponding semantic concepts. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for establishing a measure of an image-based semantic distance between a pair of semantic concepts, comprising:
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a general purpose computing device; and a computer program having program modules executable by said computing device, wherein the computing device is directed by the program modules of the computer program to, respectively compute a semantic concept representation for each semantic concept based on images associated with the concept, wherein each of said representations accounts for variations in the appearance of the associated semantic concept as depicted in the images used to compute the representation, and compute a degree of difference between the pair of semantic concept representations to produce said image-based semantic distance measure, wherein computing the degree of difference comprises computing a combination of the degree of difference between each appearance variation associated with a first of the semantic concept representations and each appearance variation associated with the other of the semantic concept representations. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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20. A computer-implemented process for establishing a measure of an image-based semantic distance between a pair of semantic concepts, comprising using a computer to perform the following process actions:
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for each semantic concept, computing a latent topic visual language model based on images associated with the semantic concept, wherein the latent topic visual language model accounts for variations in the appearance of the associated concept in the images used to compute the model, and wherein each variation in appearance it is desired to consider is represented as a separate conditional distribution of the visual features in the images associated with the variation; and computing the square root of a sum of weighted Jensen-Shannon divergences computed between each conditional distribution associated with the latent topic visual language model computed for a first of the pair of semantic concepts and each conditional distribution associated with the latent topic visual language model computed for the other semantic concept, wherein for each Jensen-Shannon divergence computed, the weighting is based on the probability or frequency of the variation in the images associated with the conditional distribution of the first semantic concept and the probability or frequency of the variation in the images associated with the conditional distribution of the other semantic concept.
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Specification