Example implementations include a method, apparatus and computer-readable medium for configuring profiles for a camera, comprising receiving video from the camera. The implementations further include classifying a first scene of the first video stream. Additionally, the implementations further include determining a first metadata for the first scene. Additionally, the implementations further include selecting a first profile for the camera based on the first metadata, wherein the first profile comprises one or more configuration parameters, wherein values of each of the one or more configuration parameters of the first profile are based on the first metadata. Additionally, the implementations further include configuring the camera with the first profile.

A verification system includes: a code generation server publicizing time stamped codes; a proving device, including a video camera, that acquires a published time stamped code from the code generation server, and, while recording a video, incorporates the acquired time stamped code into the video; and a verifying device that receives the video, extracts the time stamped code from the content of the video, compares the time stamped code to published time stamped codes, and displays a verification of the published time stamped code.

Example implementations include a method, apparatus and computer-readable medium for configuring profiles for a camera, comprising receiving video from the camera. The implementations further include classifying a first scene of the first video stream. Additionally, the implementations further include determining a first metadata for the first scene. Additionally, the implementations further include selecting a first profile for the camera based on the first metadata, wherein the first profile comprises one or more configuration parameters, wherein values of each of the one or more configuration parameters of the first profile are based on the first metadata. Additionally, the implementations further include configuring the camera with the first profile.

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

According to an example, controlled content delivery may include analyzing a content forwarding rule associated with content based on metadata related to the content to determine whether to forward the content to a device. In response to a determination that the content is to be forwarded to the device, the content may be forwarded to the device for performing an action.

An information processing system including at least one input-output device and performing a sequence of processes using electronic data that include image data and print data includes a hardware processor that executes a program so as to implement: an input-output service supply unit configured to perform a collaboration process of causing a hardware computer system implementing an external storage service to collaborate with the input-output device, a request data generation unit configured to generate request data bound for the input-output service supply unit based on metadata, and a request unit configured to request the input-output service supply unit to perform the collaboration process using the request data.

For use with a physical document bearing content visible when illuminated by light in the human visible spectrum, a tag printer, a verifier and a document processing system employing one or both of the printer and the verifier. In one embodiment, the tag printer includes: (1) a processor operable to generate metadata regarding the physical document and (2) a printer associated with the processor and operable to print a tag containing the metadata on a location of the physical document irrespective of locations of the content using an ink substantially invisible in the spectrum.

Systems and methods for maintaining chain of custody for assets offloaded from a portable electronic device. One exemplary system includes an electronic processor configured to receive, from the portable electronic device, an asset manifest including an asset identifier, a fixed-length unique identifier associated with the asset identifier, and a manifest digital signature. The electronic processor is further configured to transmit to the portable electronic device a storage message based on the asset manifest; receive, from the portable electronic device, an upload completion message; retrieve, from a data warehouse an asset file; and determine, for the asset file, an asset file fixed-length unique identifier. The electronic processor is further configured to determine whether the fixed-length unique identifier matches the asset file fixed-length unique identifier; determine whether the manifest digital signature is valid; and to transmit an asset deletion permission message when identifiers match and the digital signature is valid.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, to process audio and visual data. One of the methods includes receiving, from a mobile device, image data and audio data, wherein the image data and audio data were obtained within the same time frame. The method includes processing the image data to identify a first set of facts. The method includes processing the audio data to identify a second set of facts. The method includes processing meta-data associated with the image data to identify a third set of facts. The method also includes performing at least one process using the first set of facts, the second set of facts, and the third set of facts.

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.