A request processing apparatus includes a selecting section and an outputting section. The selecting section selects, from multiple pieces of photo data obtained through shooting during an event, one or more pieces of photo data consistent with a request accepted before or during the event. The outputting section outputs the one or more pieces of photo data selected by the selecting section.

An information processing method and apparatus, and a storage medium, the method including: on the basis of aggregated archive data, determining a target object; acquiring first capture image information of the target object; analysing the first capture information to obtain a first analysis result; and, on the basis of the first analysis result, determining a first trajectory of the target object.

Techniques are described for a de-obfuscation framework that utilizes image recognition of text. A word input by a user is received by the de-obfuscation service. Visual feature data associated with an image corresponding to each character of the word is generated. Word embeddings are generated using the visual feature data and each character of the word using a character encoder layer. Feature vectors are generated from the word embedding by combining the generated word embeddings and a provided word embedding using a second neural network. The generated feature vector is classified. Potential text obfuscation is detected from the classified generated feature vector using a lexicon to determine de-obfuscated text closet to the user text.

Method and apparatus for image retrieval. An image descriptor of a query image indicating a medical abnormality and non-image patient data may be received. For each of a plurality of candidate images stored in a database, an image descriptor of the candidate image and data about a medical abnormality known to be indicated by the candidate image may further be received. A similarity metric between the image descriptors of the query image and the candidate image may be determined for each candidate image. A first probability of the query image medical abnormality being the candidate image medical abnormality given the non-image patient data associated with the query image may be determined for each candidate image. A score may then be determined for each candidate image based on the determined similarity metric and the determined first probability. One or more of the candidate images may be retrieved from the database in accordance with the determined scores.

Methods and systems are described herein for improved techniques for consuming and interacting with media content. Specifically, the media guidance application may generate holographic animations that move from a holographic structure from which a user has selected a media asset and direct the user to a display device capable of presenting the media asset. For example, in response to a user selecting a baseball movie from a holographic bookcase, the media guidance application may generate for display a holographic baseball that is “thrown” from the bookcase to a television that will present the baseball movie.

In some examples, image based target analysis may include performing a search to identify an image, and determining whether a target is present in the image, and image metadata. Image based target analysis may further include performing, in response to a determination that the target is present in the image, based on a relationship of the target to an entity, and the image metadata, a further search to identify another image, and generating, based on the image and/or the other image, a result indicative of further information on the target.

The present disclosure provides a method for obtaining online picture-book content, and relates to a field of online education technologies. The method is applied to the smart screen device. The method includes: establishing a communication link between the smart screen device and a prism component; identifying an offline picture book by using the prism component and obtaining image content of the offline picture book; and obtaining online picture-book content in a video form based on the image content.

Systems, devices, and methods for receiving image data; transferring the captured image data to a server having a processor and addressable memory via a network-connected computing device; storing the captured image data on the server; generating captured image metadata based on the stored captured image data; providing access to the captured image data and captured image metadata via an image management component; displaying, by the image management component, the captured image data; and filtering, by the image management component, the captured image data based on the generated captured image metadata.

Systems, devices, and methods for receiving image data; transferring the captured image data to a server having a processor and addressable memory via a network-connected computing device; storing the captured image data on the server; generating captured image metadata based on the stored captured image data; providing access to the captured image data and captured image metadata via an image management component; displaying, by the image management component, the captured image data; and filtering, by the image management component, the captured image data based on the generated captured image metadata.

This invention is directed to a tool that enables content creators to collect and analyze feedback on their content during production and live performances. During playback of content, users are enabled to provide detailed feedback and comments via various feedback interfaces on user devices. Users may indicate that they like and dislike certain aspects of the content, such as musical instruments featured in a song, at specific points in time. Feedback is timestamped, transformed into values, and aggregated for review and analysis. Using machine learning techniques, the present invention can identify trends in audience preferences and generate recommendations for tailoring content and content delivery. An interactive display enables the content creator to efficiently manipulate and make sense of collected feedback. With robust security features, the interactive content feedback system described herein may integrate with content streaming platforms as well as operate as an independent application.