Abstract: A system for multi-tier visual recognition comprises a processor and a memory. The processor is configured to calculate a rank for each of a plurality of object models. The plurality of object models are used for visual recognition. Each of the plurality of object models has a size. The processor is configured to divide the plurality of object models into a plurality of sets based at least in part on the rank for each of the plurality of object models, and provide a first set of the plurality of sets to a first tier and a second set of the plurality of sets to a second tier. The memory coupled to the processor and configured to provide the processor with instructions.

Abstract: Methods and systems for classifying images and adding images to piles include determining attributes of an image, classifying the image by determining a set of elements of a hierarchy of which the image is a member based at least in part on the attributes, and adding the image to one or more piles associated with the set of elements of the hierarchy of which the image is a member.

Abstract: A system for multi-tier visual recognition comprises a processor and a memory. The processor is configured to calculate a rank for each of a plurality of object models. The plurality of object models are used for visual recognition. Each of the plurality of object models has a size. The processor is configured to divide the plurality of object models into a plurality of sets based at least in part on the rank for each of the plurality of object models, and provide a first set of the plurality of sets to a first tier and a second set of the plurality of sets to a second tier. The memory coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for multi-tier visual recognition comprises a processor and a memory. The processor is configured to calculate a rank for each of a plurality of object models. The plurality of object models are used for visual recognition. Each of the plurality of object models has a size. The processor is configured to divide the plurality of object models into a plurality of sets based at least in part on the rank for each of the plurality of object models, and provide a first set of the plurality of sets to a first tier and a second set of the plurality of sets to a second tier. The memory coupled to the processor and configured to provide the processor with instructions.

Abstract: In one embodiment, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item may be obtained, where each tag of the set of tags has a corresponding probability. In addition, a set of information that is independent from the image content of the visual media item may be obtained. The probability of at least a portion of the set of tags may be modified based, at least in part, upon the set of information.

Abstract: Methods and systems for classifying images and adding images to piles include determining attributes of an image, classifying the image by determining a set of elements of a hierarchy of which the image is a member based at least in part on the attributes, and adding the image to one or more piles associated with the set of elements of the hierarchy of which the image is a member.

Abstract: A system for determining piles comprises an interface and a processor. The interface is configured to receive an image. The processor is configured to determine one or more attributes of the image; to determine whether the image is a member of a top of a hierarchy based at least in part on the attributes. In the event it is determined that the image is a member of the top of the hierarchy: determine a set of elements of the hierarchy the image is a member of, based at least in part on the attributes and determine which of the set of entities are piles.

Abstract: A system for link acquisition and usage using image recognition comprises an interface, a processor, and a memory. The interface is for receiving an image. The processor is configured to: determine one or more tags for the image; determine one or more links associated with the one or more tags; and cause an action associated with a selected link of the one or more links. The memory is coupled to the processor and is configured to provide the processor with instructions.

Abstract: A system for monitoring an image tagging system comprises a processor and a memory. The processor is configured to provide a user display for a type of monitoring of an image tagging system. The user display includes image tagging monitoring for: a) in the event that a computer vision match is found, a computer vision match and an associated computer vision tag and, b) in the event that no computer vision match is found, a human vision match and an associated human vision tag. A memory coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for tagging an image comprises a processor and a memory. The processor is configured to analyze an image associated with an image query using one or more computer vision analysis types to determine zero or more computer vision matches. Each computer vision match has one or more associated computer vision tags. In the event that it is determined that there are zero computer vision matches, the processor is further configured to analyze the image associated with the image query using a human vision analysis system to determine zero or more human vision matches. Each human vision match has one or more associated human vision tags. A memory coupled to the processor and configured to provide the processor with instructions.

Abstract: In one embodiment, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item may be obtained, where each tag of the set of tags has a corresponding probability. In addition, a set of information that is independent from the image content of the visual media item may be obtained. The probability of at least a portion of the set of tags may be modified based, at least in part, upon the set of information.

Abstract: A system for determining piles comprises an interface and a processor. The interface is configured to receive an image. The processor is configured to determine one or more attributes of the image; to determine whether the image is a member of a top of a hierarchy based at least in part on the attributes. In the event it is determined that the image is a member of the top of the hierarchy,: determine a set of elements of the hierarchy the image is a member of, based at least in part on the attributes and determine which of the set of entities are piles.

Abstract: Hybrid fiber constructions having reduced creep tendency. More particularly, twisted, low creep yarns formed by twisting together one or more high strength polyolefin fibers and one or more low creep reinforcing fibers.

Abstract: A method of making colored multifilament ultrahigh molecular weight polyolefin yarn, including feeding at least one substantially untwisted multifilament ultrahigh molecular weight polyolefin yarn, coating the substantially untwisted multifilament yarn with a coating composition comprising colorant in a thermoplastic resin carrier, with the coating composition being adhered to the filaments of the multifilament yarn, and heating the multifilament yarn while stretching the yarn without fusing of the filaments of the multifilament yarn. The resultant yarn is a colored multifilament yarn having improved color-fastness. The thermoplastic resin has a lower melting point than the filaments of the multifilament yarn. Preferably, a plurality of the substantially untwisted multifilament ultrahigh molecular weight polyolefin yarns are processed together.

Abstract: Conveyor belts formed of a composite fabric structure. The fabric structure has a base reinforcing layer made of a network that includes high tenacity fibers. The composite fabric structure also includes a surface layer formed of rubber. The base layer and the surface layer are bonded together, preferably through the use of a bonding layer.

Abstract: An impact resistant rigid composite article comprising a fibrous layer comprising a network of filaments dispersed in a rigid matrix comprising one or more thermosetting resins and one or more thermoplastic resins which preferably include one or more initiating/compatibilization agents.

Abstract: A method of making colored monofilament ultrahigh molecular weight polyolefin fishing line, comprising the steps of feeding a substantially untwisted multifilament ultrahigh molecular weight polyolefin yarn; coating the substantially untwisted multifilament yarn with a colorant; twisting the coated multifilament yarn; and heating the twisted multifilament yarn to a temperature and for a time sufficient to at least partially fuse adjacent filaments together while stretching the yarn. The resultant product is a colored monofilament fishing line that has improved color-fastness and abrasion resistance.

Abstract: Tubular structures formed of helically wound layers of a composite fabric structure. The fabric structure has an inwardly facing layer in the form of a fabric base. The fabric base comprises a network of high tenacity fibers. The composite fabric structure also includes an outwardly facing layer formed of rubber. The inwardly facing layer and the outwardly facing layer are bonded together, preferably through the use of a bonding layer. The tubular structure may be used as a stand along product, as an antichafing cover for a rope, as a liner for a pipe, or the like.

Abstract: Protective covers for hoses, cables, ropes, and similar conduits formed of a composite fabric structure. The fabric structure has an inwardly facing layer in the form of a fabric base. The fabric base comprises a network of high tenacity fibers. The composite fabric structure also includes an outwardly facing layer formed of rubber. The inwardly facing layer and the outwardly facing layer are bonded together, preferably through the use of a bonding layer.

Abstract: This invention provides security articles comprising fibers, threads and fiber sections (“dots”) possessing multiple verification characteristics. The fibers possess unique and difficulty duplicated combinations of complex cross-sections, components, and multiple luminescent responses. The many verifiable characteristics of the security fibers, threads and dots provide high levels of protection against fraudulent duplication of articles in which they are incorporated. The manifold security features provide means of tailoring specific identity characteristics for specific use and users.