A method of generating log data that includes a plurality of records, in which information detected through image recognition processing on a plurality of image frames is recorded. The method includes, detecting objects in each image frame through the image recognition processing, generating a record including identification information of each image frame and the aggregated number of objects detected in the image frame for each image frame, and adding metadata relating to the detected objects to the corresponding record when the aggregated number of objects is equal to or greater than one. When the aggregated number of objects is zero, the metadata related to the detected objects is not added to the record.

A system, method, and computer program product are provided for digital photography. In use, a digital package is received comprising two or more images. A threshold associated with the two or more images is defined. Additionally, a first action is performed on the two or more images using a machine learning system. Based on a result of the first action, a second action is performed using the machine learning system. Further, the first action and the second action are iteratively reperformed until the threshold is obtained. A synthetic image is rendered based on the two or more images, the first action, the second action, and the threshold.

A system, method, and computer program product are provided for digital photography. In use, a digital package is received comprising two or more images. A threshold associated with the two or more images is defined. Additionally, a first action is performed on the two or more images using a machine learning system. Based on a result of the first action, a second action is performed using the machine learning system. Further, the first action and the second action are iteratively reperformed until the threshold is obtained. A synthetic image is rendered based on the two or more images, the first action, the second action, and the threshold.

There is provided with an information processing method for outputting album data corresponding to an album in which images are laid out. The method comprises obtaining information corresponding to each of a plurality of images, selecting a plurality of analysis target images from the plurality of images, executing a predetermined analysis on the plurality of selected analysis target images, and outputting album data. In case where images satisfying the predetermined criterion is less than the predetermined number, the predetermined analysis is executed on a predetermined image not selected by the predetermined selection condition. In the outputting, album data corresponding to an album in which the predetermined number or greater of images including the predetermined image are laid out is output.

There is provided with an information processing method for outputting album data corresponding to an album in which images are laid out. The method comprises obtaining information corresponding to each of a plurality of images, selecting a plurality of analysis target images from the plurality of images, executing a predetermined analysis on the plurality of selected analysis target images, and outputting album data. In case where images satisfying the predetermined criterion is less than the predetermined number, the predetermined analysis is executed on a predetermined image not selected by the predetermined selection condition. In the outputting, album data corresponding to an album in which the predetermined number or greater of images including the predetermined image are laid out is output.

A system and method for automated detection of figure element reuse. The system can receive articles or other publications from a user input or an automated input. The system then extracts images from the articles and compares them to reference images from a historical database. The comparison and detection of matches occurs via a copy-move detection algorithm implemented by a processor of the system. The processor first locates and extracts keypoints from a submission image and finds matches between those keypoints and the keypoints from a reference image using a near neighbor algorithm. The matches are clustered and the clusters are compared for keypoint matching. Matched clusters are further compared for detectable transformations. The processor may additionally implement natural language processing to filter matches based on the context of the use of the submission image in the submission and a patch detector for removing false positive features.

A system and method for automated detection of figure element reuse. The system can receive articles or other publications from a user input or an automated input. The system then extracts images from the articles and compares them to reference images from a historical database. The comparison and detection of matches occurs via a copy-move detection algorithm implemented by a processor of the system. The processor first locates and extracts keypoints from a submission image and finds matches between those keypoints and the keypoints from a reference image using a near neighbor algorithm. The matches are clustered and the clusters are compared for keypoint matching. Matched clusters are further compared for detectable transformations. The processor may additionally implement natural language processing to filter matches based on the context of the use of the submission image in the submission and a patch detector for removing false positive features.

Embodiments of the present invention provide systems, methods, and computer storage media for organization of digital media in which a digital media gallery is organized based on underlying events or occasions by leveraging content tags associated with media. Content tags and their corresponding confidence scores for a set of media are compared with correlation scores of content tags with certain event types. Upon receipt of a set of media, candidate event types may be determined based on content tags associated with the set of media and relevant tags for different event types. The candidate event types are scored based on the confidence scores and the correlations scores for each candidate event type. The highest scoring candidate event type may be presented to the user as the event type for the set of media.

A server apparatus which transmits, to a plurality of other server apparatuses each of which performs subject recognition for an image, an image acquired from a client terminal and requests the plurality of other server apparatuses to perform subject recognition receives a result of subject recognition from each of the plurality of other server apparatuses, transmits, to the client terminal, subject information to be appended to metadata of the image based on the received result of subject recognition, and performs control to switch whether to, each time a result of subject recognition is received from each of the plurality of other server apparatuses, transmit, to the client terminal, subject information that is based on the received result of subject recognition or to transmit, to the client terminal, subject information that is based on a result obtained by integrating results of subject recognition received from the plurality of other server apparatuses.

There is provided a system and method of collecting geospatial object data with mediated reality. The method including: receiving a determined physical position; receiving a live view of a physical scene; receiving a geospatial object to be collected; presenting a visual representation of the geospatial object to a user with the physical scene; receiving a placement of the visual representation relative to the physical scene; and recording the position of the visual representation anchored into a physical position in the physical scene using the determined physical position.