9. In a computing environment, a system comprising: a query image processing subsystem that determines a query image word vector for the query image and a query pattern word vector for the query image, and a database image ranking subsystem that ranks database images with respect to similarity of each database image to the query image, including obtaining an image word vector and a pattern word vector for each database image, and, for each database image, using the query image word vector for the query image, the query pattern word vector for the query image, the image word vector for the database image, and the pattern word vector for the database image to determine a score for the similarity of each database image to the query image wherein the database image ranking subsystem uses the query image word vector for the query image, the query pattern word vector for the query image, the image word vector for the database image, and the pattern word vector for the database image to determine a score of the similarity of the database image to the query image by ranking database images according to a similarity score, for each image with the query image via visual word vector-based scoring, selecting a set of most similar images based on the ranking according to the visual word vector-based scoring, and re-ranking the set according to the similarity of each image pattern vector-based similarity score with respect to the query pattern word vector; and the system further comprising a computer processor being a functional component of the system and activated by the query image processing system and database image ranking system to facilitate determining the query image word vector and query pattern word vector and ranking the database images.
9. In a computing environment, a system comprising: a query image processing subsystem that determines a query image word vector for the query image and a query pattern word vector for the query image, and a database image ranking subsystem that ranks database images with respect to similarity of each database image to the query image, including obtaining an image word vector and a pattern word vector for each database image, and, for each database image, using the query image word vector for the query image, the query pattern word vector for the query image, the image word vector for the database image, and the pattern word vector for the database image to determine a score for the similarity of each database image to the query image wherein the database image ranking subsystem uses the query image word vector for the query image, the query pattern word vector for the query image, the image word vector for the database image, and the pattern word vector for the database image to determine a score of the similarity of the database image to the query image by ranking database images according to a similarity score, for each image with the query image via visual word vector-based scoring, selecting a set of most similar images based on the ranking according to the visual word vector-based scoring, and re-ranking the set according to the similarity of each image pattern vector-based similarity score with respect to the query pattern word vector; and the system further comprising a computer processor being a functional component of the system and activated by the query image processing system and database image ranking system to facilitate determining the query image word vector and query pattern word vector and ranking the database images. 12. The system of claim 9 wherein the database image ranking subsystem uses the query image word vector for the query image, the query pattern word vector for a given query image, the image word vector for the given database image, and the pattern word vector for the database image to determine a score for the similarity of the given database image to the query image by adding a word-based similarity score based upon the image word vector of an image and the query image word vector to a pattern-based similarity score based upon the pattern word vector of the image and the query pattern word vector to determine an overall similarity score.