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 generally relates to a computer-implemented system for intelligently retaining and recalling memory data. An exemplary method comprises receiving, via a microphone of an electronic device, a speech input of the user; receiving a text input of the user; constructing a first instance of a memory data structure based on the speech input; constructing a second instance of the memory data structure based on the text input; adding the first instance and the second instance of the memory data structure to a memory stack of the user; displaying a user interface for retrieving memory data of the user; receiving, via the user interface, a beginning of a statement from the user; retrieving a particular instance of the memory data structure from the memory stack based on the beginning of the statement; and automatically displaying a completion of the statement.

A multidimensional system for generating a multimedia search engine is provided. A computer device identifies a plurality of independently separable aspects of a multimedia file. The computing device provides at least one independently separable aspect of the plurality of independently separable aspects as input into an object detection model. The computing device receives, from the object detection model, an identification of at least one object and a corresponding level of confidence that the object is present in the multimedia file. The computing device classifies the object as either confident or not confident, based on whether the level of confidence meets a threshold level of confidence. The computing device generates a multimedia search engine based, at least in part, on the object and the classification.

A media curation system configured to perform operations that include, capturing an image at a client device, wherein the image includes a depiction of an object, identifying an object category of the object based on the depiction of the object within the image, accessing media content associated with the object category within a media repository, generating a presentation of the media content, and causing display of the presentation of the media content within the image at the client device.

A method includes identifying a plurality of media content items for a playlist, each of the plurality of media content items having an introductory segment, one or more main segments, and an ending segment; determining a length of an ending segment of a first media content item and a length of an introductory segment of a second media content item; selecting an interstitial to be added to the playlist between one or more main segments of the first media content item and one or more main segments of the second media content item; and responsive to determining that a length of the interstitial is less than a combined length of the ending segment and the introductory segment, adjusting an overlap on the interstitial of the ending segment of the first content media item and the introductory segment of the second media content item.

Methods, apparatus, and processor-readable storage media for artificial intelligence-based techniques for automated visual data searching using edge devices are provided herein. An example computer-implemented method includes obtaining visual data from one or more edge devices; generating at least one automated searching tool by processing at least a portion of the obtained data using one or more artificial intelligence techniques; deploying the at least one automated searching tool to at least a portion of the one or more edge devices; and performing one or more automated actions based at least in part on data received, from at least a portion of the one or more edge devices, in connection with operation of the at least one automated searching tool.

A method includes identifying media content items for a playlist, each media content item has an introductory segment, main segment, and ending segment, determining a length of an ending segment of a first media content item and a length of an introductory segment of a second media content item, selecting an interstitial to be added to the playlist between a main segment of the first media content item and the second media content item. A length of the interstitial exceeds a combined length of the ending segment of the first media content item and the introductory segment of the second media content item. The method also includes adding a spacing between the ending segment and the introductory segment, and inserting the interstitial in the playlist between the main segment of the first media content item and the second media content item based on the spacing.

A tangible, non-transitory machine-readable medium includes machine-readable instructions that, when executed by one or more processors, cause the one or more processors to access user information, generate a cloud representation having a plurality of word clouds with varying levels of emphasis based at least in part on the user information, and output the cloud representation on a display of a computing device. The plurality of word clouds include one or more word clouds, one or more image clouds, or both.

A query fingerprint of a set of frames of video content captured at a client device may be generated. Multiple patches of the set of frames of video content may be selected and a value calculated for each of the selected multiple patches. The value for each patch may be indicated as a single bit along with an additional 1-bit value to indicate whether the patch value is weak. A database of known reference fingerprints may be queried using the generated query fingerprint. Matches between the query fingerprint and the reference fingerprints may be identified. Weak bits may be given reduced weight in identifying the match of fingerprints. Based on the matches, an identifier for the video content may be returned to the client device. The client device may use the received identifier to access the supplemental content.

Example implementations are directed to methods and systems for individualized multimedia navigation and control including receiving metadata for a piece of digital content, where the metadata comprises a primary image and text that is used to describes the digital content; analyzing the primary image to detect one or more objects; selecting one or more secondary images corresponding to each detected object; and generating a data structure for the digital content comprising the one or more secondary images, where the digital content is described by a preferred secondary image.