A method for pushing information is disclosed by which a client acquires the statistical characteristic information of a current video frame in real time during video playback on the client; the client then searches a first mapping relationship table consisting of mapping relations between the statistical characteristic information and index values that is established by the client for the index value that matches the acquired statistical characteristic information, and sends the index value thus found to a cloud server; the cloud server searches a second mapping relationship table consisting of mapping relations between the index values and push information that is established by the cloud server for the push information that corresponds to the index value; and finally the client receives and plays or displays the push information. There is also provided a system for pushing information.

A method for querying data obtained from a distributed sensor network, comprising: receiving sensor data representing an aspect of an environment with a sensor of the distributed sensor network; communicating a representation of the sensor data to a fog node through an automated communication network; determining, by the fog node, a correspondence of a query received through the automated communication network to characteristics of the representation of the sensor data; and selectively communicating, in response to the query, at least one of: the sensor data having the determined characteristics corresponding to the query, an identification of the sensor data having the determined characteristics corresponding to the query, and the data representing the sensor data having the determined characteristics corresponding to the query.

Systems, methods, and non-transitory computer-readable media can store fingerprint data corresponding to one or more content items in an index data structure, the index data structure comprising a set of bins, wherein at least one first bin references a list of fingerprinted frames, and wherein at least one fingerprinted frame in the list corresponds to a first content item. A determination is made that one or more fingerprinted frames corresponding to a second content item are to be added to the index data structure. At least one of the fingerprinted frames corresponding to the second content item are added to the list of fingerprinted frames that is referenced by the first bin.

Systems, methods, and non-transitory computer-readable media can generate at least one fingerprint based on a set of frames corresponding to a test content item, generate a set of distorted fingerprints using at least a portion of the fingerprint, and determine one or more reference content items using the set of distorted fingerprints, wherein the test content item is evaluated against at least one reference content item to identify matching content.

Systems, methods, and non-transitory computer-readable media can obtain a test content item having a plurality of video frames. At least one video fingerprint is determined based on a set of video frames corresponding to the test content item. At least one reference content item is determined using at least a portion of the video fingerprint. At least one portion of the test content item that matches at least one portion of the reference content item is determined based at least in part on the video fingerprint of the test content item and one or more video fingerprints of the reference content item.

Apparatus, methods and systems of object recognition are disclosed. Embodiments of the inventive subject matter generates map-altered image data according to an object-specific metric map, derives a metric-based descriptor set by executing an image analysis algorithm on the map-altered image data, and retrieves digital content associated with a target object as a function of the metric-based descriptor set.

Apparatus, methods and systems of object recognition are disclosed. Embodiments of the inventive subject matter generates map-altered image data according to an object-specific metric map, derives a metric-based descriptor set by executing an image analysis algorithm on the map-altered image data, and retrieves digital content associated with a target object as a function of the metric-based descriptor set.

A method for managing video data in a storage system (10), the video data comprising frames, and a storage system (10) configured to perform the method are described. The storage system (10) comprises a first input (11) configured to receive (1) one or more frames for storage. A storage more frames unit (12) stores (2) the one or more frames, whereas a unique identifier generator (13) associates (3) a unique identifier to each of the one or more frames. The storage system (10) further comprises a processor (14) configured to generate (4) a modified frame by processing one or more frames or to receive a modified frame generated externally. The unique identifier generator (13) associates (5) a derived unique identifier to such a modified frame, which comprises references to the unique identifiers of the one or more processed frames.

Methods, systems, and media for detecting a presentation of media content on a display device are provided. In accordance with some implementations, methods for detecting a presentation of media content on a display device are provided, the methods comprising: detecting, using a light sensor, light levels in the light sensor's surroundings; generating a signal representing the light levels; detecting, using a hardware processor, at least one variation in light levels indicative of a presentation of a video scene based on the signal; detecting at least one variation in light levels indicative of a scene change subsequent to the video scene based on the signal; and determining that media content is being presented on a display device in response to detecting the variation in light levels indicative of the presentation of the video scene and the variation in light levels indicative of the scene change.

Systems, apparatuses, and methods for asset tagging and management. Users connect any asset to the platform by scanning a tag affixed to the asset. Tagged assets are registered to a user's account. The platform deploys Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in order to promote efficient and effective management of a user's tagged assets, in addition to providing organizational, repair, and maintenance services for any tagged assets. The system incorporates image data, video data, and/or audio data to manage the tagged assets.