Abstract: Aspects of the present invention disclose a method, computer program product, and system for identifying symptoms based on digital media. The method includes one or more processors receiving digital media and information associated with a first animal from a user. The method further includes one or more processors identifying data records, stored in a knowledge database, that are respectively associated with an animal that is similar to the first animal. The method further includes one or more processors determining symptom information corresponding to the first animal based on a comparison of the received digital media and information associated with the first animal and the identified data records. The method further includes presenting the determined symptom information to a user.

Abstract: A bogie for a lowboy trailer includes a rear suspension support assembly configured to carry a suspension system of the lowboy trailer thereunder and a front transition assembly coupled to a front end of the rear suspension support assembly and configured to couple the rear suspension support assembly to a lower deck of the lowboy trailer. At least a portion of the rear suspension support assembly has a closed cross section when viewed along a longitudinal axis of the rear suspension support assembly. At least a portion of the front transition assembly has a closed cross section when viewed along a longitudinal axis of the front transition assembly.

Abstract: In an embodiment, a method includes training a neural network model with a first set of training data. In an embodiment, the method includes calculating divergence for a set of layers of the neural network model, the set of layers comprising at least one batch norm layer. In an embodiment, the method includes analyzing, based on the calculated divergence, a stability of each of the set of layers. In an embodiment, the method includes removing, based on the analysis determining a subset of the set of layers fails to meet a threshold stability, the subset of the set of layers of the neural network model.

Abstract: A method and system of stitching a plurality of image views of a scene, including grouping matched points of interest in a plurality of groups, and determining a similarity transformation with smallest rotation angle for each grouping of the matched points. The method further includes generating virtual matching points on non-overlapping area of the plurality of image views and generating virtual matching points on overlapping area for each of the plurality of image views.

Abstract: Generating a textual description of an image includes classifying an image represented by image data into a domain-specific category, and segmenting one or more elements in the image data based on the domain-specific category. Each element of the one or more elements is compared to a domain-independent model to detect one or more statistical anomalies in the one or more elements. The one or more detected statistical anomalies are characterized using one or more domain-independent text phrases. The one or more domain-independent text phrases are converted to one or more domain-specific descriptions based upon the domain-specific category.

Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.

Abstract: One or more embodiments described herein include a computer-implemented method of determining a bounding box for an object in an image. The method includes determining a label for an object in a first image using a first algorithm, and generating a set of images based on the first image, by cropping the first image from a selected direction. The method further includes determining labels for each image in the set using the first algorithm, and removing images from the set such that the remaining images have a label matching the initial label. The method further includes determining a key image for the set, which is the smallest image from the set that has a confidence score exceeding a threshold. Further, the method includes determining a bounding box for the object in the first image based on a perimeter of a portion of the first image that overlaps the key image.

Abstract: One or more embodiments described herein include a computer-implemented method of determining a bounding box for an object in an image. The method includes determining a label for an object in a first image using a first algorithm, and generating a set of images based on the first image, by cropping the first image from a selected direction. The method further includes determining labels for each image in the set using the first algorithm, and removing images from the set such that the remaining images have a label matching the initial label. The method further includes determining a key image for the set, which is the smallest image from the set that has a confidence score exceeding a threshold. Further, the method includes determining a bounding box for the object in the first image based on a perimeter of a portion of the first image that overlaps the key image.

Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.

Abstract: A method and system of stitching a plurality of image views of a scene, including grouping matched points of interest in a plurality of groups, and determining a similarity transformation with smallest rotation angle for each grouping of the matched points. The method further includes generating virtual matching points on non-overlapping area of the plurality of image views and generating virtual matching points on overlapping area for each of the plurality of image views.

Abstract: A septic tank system includes a multiple compartmented (or chambered) supplemental tank. The supplemental tank has a cover/lid with a plurality of strategically situated access holes (both small and large ports) for servicing the various chambers from above ground.

Abstract: Generating a textual description of an image includes classifying an image represented by image data into a domain-specific category, and segmenting one or more elements in the image data based on the domain-specific category. Each element of the one or more elements is compared to a domain-independent model to detect one or more statistical anomalies in the one or more elements. The one or more detected statistical anomalies are characterized using one or more domain-independent text phrases. The one or more domain-independent text phrases are converted to one or more domain-specific descriptions based upon the domain-specific category.

Abstract: The embodiments herein disclose a herbal oil based non-toxic insecticide composition comprises lemon grass oil, peppermint oil and liquid soap/soap solution. The herbal oil based non-toxic insecticide composition is tested on the insects/bugs. The predetermined amount of lemon grass oil is in a range of 3% v/v-45% v/v. The predetermined amount of peppermint oil is in a range of 0.05% v/v-25% v/v. The predetermined amount of liquid soap/soap solution is in a range of 0.01% v/v-20% v/v. The liquid soap/soap solution does not comprise chemical dyes, perfumes and phosphate composition. The soap solution/liquid soap is plant based and does not comprise animal derived products. The soap solution/liquid soap prevents separation of peppermint oil and lemon grass oil in the herbal oil based non-toxic insecticide composition. The bed bugs, roaches and hornets die after spraying the herbal oil based non-toxic insecticide composition.

Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.

Abstract: Generally, the instant disclosure relates to fertilizer compositions and methods of making and using the same. More specifically, the instant disclosure relates to blast suppressant and/or blast resistant ammonium nitrate fertilizer compositions, as well as methods of making and using the same.

Abstract: A personalization enhancement method and system. The method includes retrieving and analyzing digital content associated with a user. Characteristics describing the digital content are tagged and transferred to a profile of said the user. The profile includes additional characteristics generated during previous analysis of data from the digital content and additional digital content associated with the user. User information associated with products, a location, and a time profile is assigned. The profile is analyzed based on selection and interaction of the user with respect to a consumer Website. The profile includes the characteristics and the additional characteristics with respect to products and services of the consumer Website. A presentation color setting and a group of products and services of are determined for presentation to the user. The group of products and services are presented to the user using the presentation color setting.

Abstract: A computer-implemented method for finding objects in a collection of images or video, the method comprising: assessing a similarity between two subgraphs; detecting the objects in the collection; assessing a relationship between the objects; finding attributes of the objects; constructing a collection graph for the collection where each of the objects is the vertices and nodes of the collection graph and their relationships with other objects and attributes are edges of the collection graphs; recursively identifying coherent subgraphs and turning the coherent subgraphs into new meta-nodes of the collection graph; identification of the stable graph reducing the collection graph into zero or more distinct stories; assigning a similarity score for each pair of the stories based on a similarity between the corresponding stories; linking the stories into inlier stories based on the similarity score being greater than a first pre-determined threshold level.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for identifying symptoms based on digital media. The method includes one or more processors receiving digital media and information associated with a first animal from a user. The method further includes one or more processors identifying data records, stored in a knowledge database, that are respectively associated with an animal that is similar to the first animal. The method further includes one or more processors determining symptom information corresponding to the first animal based on a comparison of the received digital media and information associated with the first animal and the identified data records. The method further includes presenting the determined symptom information to a user.

Abstract: A system and method for analyzing visual memes includes identifying visual memes associated with at least one topic in a data source. The visual memes propagated over time are tracked to extract information associated with identified visual memes. The information associated with the visual memes is analyzed to determine at least one of generation, propagation, and use of the identified memes.

Abstract: A compression system for compressing a video received from an imaging device, the compression system including a transformation estimation device configured to estimate, based on pixel transformations between a first frame and a second frame of the video, a transformation matrix, an encoding device configured to encode the second frame as an increment with the first frame based on the transformation matrix generated by the transformation device, a compression device configured to compress the increments into compressed data, and a reconstruction device configured to reconstruct the first frame and the second frame using the transformation matrix generated by the transformation estimation device.