CN112307259A - Digital retina cloud application interaction method - Google Patents

Digital retina cloud application interaction method Download PDF

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Publication number
CN112307259A
CN112307259A CN201910702862.1A CN201910702862A CN112307259A CN 112307259 A CN112307259 A CN 112307259A CN 201910702862 A CN201910702862 A CN 201910702862A CN 112307259 A CN112307259 A CN 112307259A
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Prior art keywords
searching
search condition
cloud
returning
database according
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杨长水
齐峰
魏勇刚
贾惠柱
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Beijing Boya Huishi Intelligent Technology Research Institute Co ltd
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Beijing Boya Huishi Intelligent Technology Research Institute Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73—Querying
    • G06F16/738—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7837—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
    • G06F16/784—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content the detected or recognised objects being people

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Abstract

A digital retina cloud application interaction method is characterized by comprising the following three steps: the method comprises the following steps: the query terminal sends a retrieval request to the cloud app _ server, and the cloud app _ server receives the application request; step two: the app _ server searches the database according to the search condition; the target retrieval application method comprises the following sub-contents: (1) searching people off line, searching a pedestrian database according to the search condition, and returning pedestrian structured information if the search is successful; (2) searching vehicles offline, searching a vehicle database according to the search conditions, and returning vehicle structural information if the search is successful; the invention relates to a digital retina cloud application interaction method. Through definition and specification of cloud application and result presentation, stable and efficient data service of the cloud is achieved. By classifying and searching the searched content, an effective and accurate search result is obtained.

Description

Digital retina cloud application interaction method
Technical Field
The invention discloses a digital retina cloud application interaction method, relates to the field of security monitoring and artificial intelligence, and particularly relates to a cloud application interaction method for digital retina intelligent video monitoring.
Background
The video monitoring system deployed at present adopts the technical standard H.264 more than ten years ago, has low data compression efficiency, high construction cost and poor application effect, and is mainly expressed as follows:
1) early standards compressed inefficient. Under the condition of ensuring the video quality, the estimated cost of hundreds of millions of cameras deployed in China needs storage cost, and under the condition that the storage space is insufficient in each place, the videos are often over-compressed, so that the quality of a large number of video images is seriously degraded, and key people and vehicles cannot be clearly seen when a case or a safety accident occurs;
2) and the monitoring video is difficult to network. Cameras deployed in many provinces and cities exceed millions, but the cameras adopt old standard codes, so that hundreds of videos can be transmitted in real time under the existing communication bandwidth condition, and most monitoring videos cannot be effectively utilized;
3) highly dense cameras cannot cover the full scene. Although the cameras in partial areas are distributed at high density, the full scene coverage still cannot be carried out, the information shot by the ground cameras in the area covered by the cameras is limited, and meanwhile, the redundancy of video data acquired all weather is high, the global valuable information is difficult to extract, so that huge information waste is caused;
4) and massive videos are difficult to retrieve. The traditional video monitoring system realizes the playback and evidence collection of an event by monitoring personnel looking up and reading a historical video, the manual playback and evidence collection mode of the video has low efficiency, and although the image retrieval technology is rapidly developed, the traditional video monitoring system is applied in the industrial field, particularly the large-scale application in the security field is still in need of solution;
5) video precision analysis is lacking. In the actual combat application of departments such as public security and the like, the video monitoring technology has the problems of slow video retrieval and difficult analysis, and has positive significance on how to find important and valuable clues from massive videos, such as rapid identification and positioning of targets and digging of action tracks of the targets, shortening of event processing time, reduction of working intensity of law enforcement personnel and improvement of working efficiency.
Disclosure of Invention
The invention aims to provide a digital retina cloud application interaction method to solve the problems of intelligent analysis and system application of large-scale monitoring videos of the existing digital retina system.
A digital retina cloud application interaction method is characterized by comprising the following three steps:
the method comprises the following steps: the query terminal sends a retrieval request to the cloud app _ server, and the cloud app _ server receives the application request;
step two: the app _ server searches the database according to the search condition; the target retrieval application method comprises the following sub-contents:
(1) offline search for people
Searching the pedestrian database according to the search condition, and if the search condition is successful, returning the pedestrian structured information;
(2) off-line searching vehicle
Searching the vehicle database according to the search condition, and if the search condition is successful, returning the vehicle structural information;
(3) off-line searching and riding
Searching the human riding database according to the search condition, and if the search condition is successful, returning the human riding structural information;
(4) offline face searching
Searching the face database according to the search condition, and if the search condition is successful, returning face structural information;
step three: and the summarized retrieval results of the retrieval database are returned to the query terminal.
Step four: optimizing a retrieval result: and the cloud application middleware optimizes result presentation by adopting a paging list mode according to the terminal display equipment when returning the retrieval result.
The invention has the following beneficial effects:
the invention relates to a digital retina cloud application interaction method. Through definition and specification of cloud application and result presentation, stable and efficient data service of the cloud is achieved. By classifying and searching the searched content, an effective and accurate search result is obtained.
Drawings
FIG. 1 is a schematic of the present invention.
Detailed Description
A digital retina cloud application interaction method is characterized by comprising the following three steps:
the method comprises the following steps: the query terminal sends a retrieval request to the cloud app _ server, and the cloud app _ server receives the application request;
step two: the app _ server searches the database according to the search condition; the target retrieval application method comprises the following sub-contents:
(1) offline search for people
Searching the pedestrian database according to the search condition, and if the search condition is successful, returning the pedestrian structured information;
(2) off-line searching vehicle
Searching the vehicle database according to the search condition, and if the search condition is successful, returning the vehicle structural information;
(3) off-line searching and riding
Searching the human riding database according to the search condition, and if the search condition is successful, returning the human riding structural information;
(4) offline face searching
Searching the face database according to the search condition, and if the search condition is successful, returning face structural information;
step three: and the summarized retrieval results of the retrieval database are returned to the query terminal.
Step four: optimizing a retrieval result: and the cloud application middleware optimizes result presentation by adopting a paging list mode according to the terminal display equipment when returning the retrieval result.
And the cloud application middleware receives an application control instruction of the terminal, retrieves the database and returns a retrieval result. According to the type of the application target, the target retrieval application method comprises the following steps:
(1) offline search for people
The method comprises the following steps: http post
The functions are as follows: and searching the pedestrian database according to the search condition, and if the search condition is successful, returning the pedestrian structured information.
Request：r＝
{
"picpath": http format picture address
"camera": camera ID list
"stime": start time format 2018-09-2014: 15:07
End time
"peeestrain _ sex": male ",
"period _ age" of youth,
"peedestrain _ hair": short hair ",
"peeestrain _ upcolor": black ",
"pedestrain _ uptype": long sleeve ",
"peeestrain _ botomcolor": black ",
"pedestrain _ bottomtype": trousers "
}
If correctly returning:
Figure BDA0002151306190000031
Figure BDA0002151306190000041
otherwise, the error returns:
Figure BDA0002151306190000042
(2) off-line searching vehicle
The method comprises the following steps: http post
The functions are as follows: and searching the vehicle database according to the search condition, and if the search condition is successful, returning the vehicle structural information.
Figure BDA0002151306190000043
If correctly returning:
Figure BDA0002151306190000044
otherwise, the error returns:
Figure BDA0002151306190000045
Figure BDA0002151306190000051
(3) off-line searching and riding
The method comprises the following steps: http post
The functions are as follows: and searching the human riding database according to the search condition, and if the search condition is successful, returning the human riding structural information.
Request：r＝
{
"picpath": http format picture address
"camera": camera ID list
"stime": start time format 2018-09-2014: 15:07
End time
Knapsack (PersonBag)
Age, Personage
"PersonHair" for hair
PersonBotomcolor
PersonBotomtype
}
If correctly returning:
Figure BDA0002151306190000052
otherwise, the error returns:
Figure BDA0002151306190000053
(4) offline face searching
The method comprises the following steps: http post
The functions are as follows: and searching the face database according to the searching conditions, and if the searching conditions are successful, returning face structural information.
Request：r＝
{
"picpath": http format picture address
"camera": a camera ID list such as 111, 222, 333, and "split", and if "split", default to all;
"stime": start time format 2018-09-2014: 15:07
End time
Face _ sex: male,
"face _ age" means "youth",
"face _ hair": short hair ",
}
if correctly returning:
Figure BDA0002151306190000061
otherwise, the error returns:
Figure BDA0002151306190000062
content 2: an interface presentation optimization method. And the cloud application middleware optimizes result presentation by adopting a paging list mode according to the terminal display equipment when returning the retrieval result. The method comprises the following sub-contents:
the method comprises the following steps: http post
The functions are as follows: and performing paging list processing on the retrieval result.
Request：r＝
{
"ids": "111, 222, 333"// task ID List
"limit": "10"// number of displays per page
"offset": 0// offset
}
If correctly returning:
Figure BDA0002151306190000071
otherwise, the error returns:
Figure BDA0002151306190000072
in the process of rapid development, the video monitoring industry is continuously developing towards networking, high-definition, intellectualization and diversification. With the deep application of artificial intelligence, cloud computing, big data and unmanned aerial vehicle technology, the diversification of video intelligent analysis becomes the most distinctive feature of a new generation of video monitoring system. The invention relates to an intelligent video monitoring platform (platform for short) with functions of concentrating and transcoding a monitoring video, analyzing an image, retrieving characteristics, displaying an application and the like, which integrates a plurality of leading-edge technologies such as visual content analysis, visual characteristic retrieval, big data analysis, cloud storage, deep learning and the like, develops a plurality of technologies such as parallel multi-channel video concentrating and transcoding, human and vehicle visual characteristic extraction, massive visual big data quick retrieval, double-current remote communication, a software defined camera network and real-time service application middleware, gives consideration to an online camera and an offline video file, is suitable for efficient storage, quick retrieval and intelligent application of a large-scale monitoring video in a city level, and can provide an intelligent application solution of the integral large-scale monitoring video for a user, the method can be widely applied to intelligent video processing of various bayonet and micro-bayonet public security surveillance video scenes accessed by public security organs. Provides an effective technical means for comprehensive management of cities and detection of cases by public security institutions.
In order to achieve the above object, the present invention provides a digital retina cloud application interaction method to implement a cloud response terminal search condition and return a specification and method for presenting an optimization result.
The invention relates to the application field of digital video network systems in smart cities and intelligent transportation, which performs visual calculation and scene analysis on a large number of monitoring cameras at the edge end, completes the concentration transcoding and the human-vehicle structuring of a monitoring video, and realizes the cloud high-efficiency convergence and intelligent application of effective data and information of the monitoring video. A digital retina cloud application interaction method mainly specifies data specifications and interface definitions of cloud application services of a digital retina system, as shown in fig. 1.
The invention provides a digital retina cloud application interaction method, which comprises the following three steps: the cloud app _ server receives an application request; the app _ server searches the database according to the search condition; and returning the retrieval result to the query terminal. A digital retina cloud application interaction method aims at four cloud application services (offline person searching, offline vehicle searching, offline search riding and offline face searching) of a digital retina system to formulate a uniform data specification and interface definition, changes a target query mode of an existing video monitoring system, changes video retrieval into target-based search, and solves the problem of achieving quick retrieval of massive targets.
The technical scheme of the invention is as follows:
a digital retinal cloud application interaction method, as shown in fig. 1, comprising the following steps:
content 1: target retrieval application method. And the cloud application middleware receives an application control instruction of the terminal, retrieves the database and returns a retrieval result. According to the type of the application target, the target retrieval application method comprises the following sub-contents:
(1) offline search for people
And searching the pedestrian database according to the search condition, and if the search condition is successful, returning the pedestrian structured information.
(2) Off-line searching vehicle
And searching the vehicle database according to the search condition, and if the search condition is successful, returning the vehicle structural information.
(3) Off-line searching and riding
And searching the human riding database according to the search condition, and if the search condition is successful, returning the human riding structural information.
(4) Offline face searching
And searching the face database according to the searching conditions, and if the searching conditions are successful, returning face structural information.
Content 2: an interface presentation optimization method. And the cloud application middleware optimizes result presentation by adopting a paging list mode according to the terminal display equipment when returning the retrieval result.

Claims (1)

1. A digital retina cloud application interaction method is characterized by comprising the following three steps:
the method comprises the following steps: the query terminal sends a retrieval request to the cloud app _ server, and the cloud app _ server receives the application request;
step two: the app _ server searches the database according to the search condition; the target retrieval application method comprises the following sub-contents:
(1) offline search for people
Searching the pedestrian database according to the search condition, and if the search condition is successful, returning the pedestrian structured information;
(2) off-line searching vehicle
Searching the vehicle database according to the search condition, and if the search condition is successful, returning the vehicle structural information;
(3) off-line searching and riding
Searching the human riding database according to the search condition, and if the search condition is successful, returning the human riding structural information;
(4) offline face searching
Searching the face database according to the search condition, and if the search condition is successful, returning face structural information;
step three: and the summarized retrieval results of the retrieval database are returned to the query terminal.
Step four: optimizing a retrieval result: and the cloud application middleware optimizes result presentation by adopting a paging list mode according to the terminal display equipment when returning the retrieval result.
CN201910702862.1A 2019-07-31 2019-07-31 Digital retina cloud application interaction method Pending CN112307259A (en)

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Application Number Priority Date Filing Date Title
CN201910702862.1A CN112307259A (en) 2019-07-31 2019-07-31 Digital retina cloud application interaction method

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Application Number Priority Date Filing Date Title
CN201910702862.1A CN112307259A (en) 2019-07-31 2019-07-31 Digital retina cloud application interaction method

Publications (1)

Publication Number Publication Date
CN112307259A true CN112307259A (en) 2021-02-02

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