A media storage service may store a plurality of copies of a same media recording in cloud DVR, one copy specific to one of a plurality of clients. The client may interact directly with the media storage service based on path-based indexing techniques for playback of the media recording. The client may send a request, including a path of a manifest file associated with the copy specific to the client, to the media storage service. The manifest file may include information indicating respective paths of one or more segments of the copy. The media storage service may identify and return the manifest file to the client. The media storage service may further receive requests from the client to access the segments of the copy. The requests may include the respective paths, based on which the media storage service may retrieve the segments for the client to play.

A media storage service may store a plurality of copies of a same media recording in cloud DVR, one copy specific to one of a plurality of clients. The client may interact directly with the media storage service based on path-based indexing techniques for playback of the media recording. The client may send a request, including a path of a manifest file associated with the copy specific to the client, to the media storage service. The manifest file may include information indicating respective paths of one or more segments of the copy. The media storage service may identify and return the manifest file to the client. The media storage service may further receive requests from the client to access the segments of the copy. The requests may include the respective paths, based on which the media storage service may retrieve the segments for the client to play.

A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.

A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.

Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

The disclosed computer-implemented method may include (i) detecting a collection of media files captured by a wearable media device, (ii) determining a selection of the media files representing a common set of user experiences accumulated over a continuous period, (iii) grouping the selection of the media files into a customizable container, and (iv) sharing the customizable container with one or more target recipients for viewing within a secure application portal. Various other methods, systems, and computer-readable media are also disclosed.

The disclosed computer-implemented method may include (i) detecting a collection of media files captured by a wearable media device, (ii) determining a selection of the media files representing a common set of user experiences accumulated over a continuous period, (iii) grouping the selection of the media files into a customizable container, and (iv) sharing the customizable container with one or more target recipients for viewing within a secure application portal. Various other methods, systems, and computer-readable media are also disclosed.

A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.

A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.