High definition surveillance image storage optimization apparatus and methods of retention triggering
First Claim
1. An apparatus for high definition surveillance image storage optimization comprises:
- a purging module;
a network interface to extrinsic sensors;
an extrinsic retention meta data store coupled to the purging module and further coupled to;
a video stream transformation module; and
a network interface to a plurality of high definition video cameras,said modules, interfaces, and interconnected by communication circuits and switches.
1 Assignment
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Accused Products
Abstract
A high definition surveillance video storage optimization system executes purging directives according to policy and retention meta data. Segments of video are purged from storage when thresholds of retention metrics are applied and when policy permits. Retention metrics are determined from acoustic sound energy, radiation energy, access control events, and movement. Policies reflect calendars and elapsed time, percentage of available storage, statutory and judicial mandates, and utility of the stored segments. Extrinsic sensor data and operations are recorded into non-transitory retention meta data stores. Metrics are transformed into retention flags at either time of recordation or time of purgation. Security file storage includes metadata about the environment acquired by sensors include doors, audio noise, object identification and tracking and inputs which influence retention or purging. A circuit filters for motion and stores metadata per segment. Meta data enables content based purging of least consequential files.
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Citations
20 Claims
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1. An apparatus for high definition surveillance image storage optimization comprises:
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a purging module; a network interface to extrinsic sensors; an extrinsic retention meta data store coupled to the purging module and further coupled to; a video stream transformation module; and a network interface to a plurality of high definition video cameras, said modules, interfaces, and interconnected by communication circuits and switches. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for operation of a high definition video surveillance storage optimization apparatus comprises:
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receiving a high definition video stream; transforming the video stream into segments with retention meta data headers; receiving extrinsic events and sensor measurements; receiving retention policies and metric thresholds; determining retention metrics and flags; receiving a purging directive; evaluating calendar and policy constraints on purging; masking video file segments protected by retention meta data from purging; and removing pointers to video file segments available to purging. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for surveillance image storage optimization comprising:
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receiving one or more purging control directives;
retrieving a retention meta data array for each of a plurality of image segment identifiers;masking each retrieved retention meta data array by each received purging control directive to set a retention flag for each image segment identifier; purging from surveillance image store, the image segments corresponding to image segment identifiers not set for retention; transforming high definition video into a plurality of image frames; transforming stored image frames into image segments and retention meta data arrays; storing image segment identifiers and retention meta data arrays into a retention meta data store; reversing Huffman encoding of coefficients of pixel blocks; differencing the low frequency coefficients between corresponding pixel blocks in Kframes and Jframes; determining a metric of relative movement by normalizing the difference of low frequency coefficients; and
,storing into retention meta data store an image segment identifier and an associated metric of relative movement; wherein a retention meta data array includes an extrinsic sensor measurement correlated to the image segment; wherein a retention meta data array includes a timestamp of file creation and records of file system operations on the image segment; wherein purging control directives include a threshold of a metric of relative movement within the image segment, a level of extrinsic sensor measurement, and an inequality of at least one of elapsed time since capture, most recent file access, and least recent file access; wherein purging control directives include ownership, location, and time of capture as specified in judicial orders, legislative statutes, and administrative policies.
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Specification