Abstract: Some embodiments provide a program that receives a first selection of a first set of attributes in a first data model, a second selection of a second set of attribute in a second data model, a third selection of a first dimension in the first data model, and a fourth selection of a second dimension in second data model. The program further receives a request for data for a visualization. The program also generates a blend definition based on the first set of attributes, the second set of attributes, the first dimension in the first data model, and the second dimension in the second data model. The program further generates a blended query model based on the blend definition. The program also executes a query based on the blended query model to generate a result set of data. The program provides a visualization that includes the result set of data.

Abstract: A caching system operative in conjunction with a memory and a cache, the caching system comprising a processor to use only a single hash function which compresses K bit memory addresses to H_max bit cache addresses, rather than using plural hash functions, to provide perfect hashing for each of plural applications which utilize plural respective subsets, of different sizes, from among 2{circumflex over (?)}H_max cells in the cache; and at least one logic circuit X which receives, as one of its input operands, an output, H_max bits in length, of the single hash function and which generates, as a logic circuit output, a cache address of length H_select to which at least one K-bit address is mapped where H_max<K, to ensure that input operands which differ only by H_select<=H_max bits, map to distinct hash values with no collisions.

Abstract: A system and method for providing a third generation social network. The system provides processes that allow physical objects to be represented as social objects in the social network. A user may then interact with the social objects. These interactions allow the system to collect the content of the interactions of a particular user. The content of the interactions may then be analyzed and used to direct specific content to specific users that may have an interest in the specific content as indicated by the content of the interactions of those users. Furthermore, the system provides a method for associating data with a shape in an image to allow a user and/or groups of users to interact with the image.

Abstract: The application discloses a method and device for personalized search of visual media. Semantic analysis is conducted on a visual media query text of a user to obtain visual semantic information, time information and/or location information. Semantic similarity matching is conducted on a result of the semantic analysis and attribute data of each visual medium within a specified search range to obtain a query similarity of the visual medium. The visual medium is an image or a video, and the attribute data include personalized visual semantic information, personalized time information and/or personalized location information. A corresponding visual media query result is generated based on the query similarity. By adopting the application, users are provided with visual media which is a result of a personalized.

Abstract: A system and method matches data from a first set of data with that of an other set of data.

Abstract: In implementations of multi-resolution color-based image search, an image search system determines a color vector for a query image based on a color histogram of the query image by concatenating two color histograms having different resolutions. The image search system can compute distance measures between the color vector of the query image and color vectors of candidate images. The image search system can select one or more of the candidate images to return based on the distance measures utilizing the distance measures as indication of color similarity of the candidate images to the query image.

Abstract: Approaches in accordance with various embodiments can perform spatial hash map updates while ensuring the atomicity of the updates for arbitrary data structures. A hash map can be generated for a dataset where entries in the hash map may correspond to multiple independent values, such as pixels of an image to be rendered. Update requests for independent values may be received on multiple concurrent threads, but change requests for independent values corresponding to a hash map entry can be aggregated from a buffer and processed iteratively in a single thread for a given hash map entry. In the case of multi-resolution spatial hashing where data can be stored at various discretization levels, this operation can be repeated to propagate changes from one level to another.

Abstract: A method and apparatus to generate an object descriptor using extended curvature gabor filters. The method and apparatus may increase a recognition rate of even a relatively small image with use of an extended number of curvature gabor filters having controllable curvatures and may reduce the amount of calculation required for face recognition by performing the face recognition using only some of the extended curvature gabor filters which have a great effect on the recognition rate. The object descriptor generating method includes extracting gabor features from an input object image by applying a plurality of curvature gabor filters, generated via combination of a plurality of curvatures and a plurality of Gaussian magnitudes, to the object image, and generating an object descriptor for object recognition by projecting the extracted features onto a predetermined base vector.

Abstract: Methods and apparatus to generate templates from web images for searching an image database are described. In one embodiment, one or more retrieved images (e.g., from the Web) may be used to generate one or more templates. The templates may be used to search an image database based on features commonly shared between sub-images of the retrieved images. Other embodiments are also described.

Abstract: Computer-readable media, systems, and methods for flexible matching with combinational similarity are described. In embodiments, an object image is received, a query image is received, and the query image is compared with the object image. In various embodiments matching information is determined based upon combinational similarity and the matching information is presented to a user. In various embodiments, comparing the query image with the object image includes dividing the object image into agents, creating a gradient histogram for the agents, determining map areas for the query image, creating a gradient histogram for the map areas, and creating a similarity array for each of the agents. Further, in various embodiments, determining matching information includes creating a combinational array by combining the similarity arrays for each agent and determining whether the combinational array includes a peak value.