CN111125398A - Picture information retrieval method, device, equipment and medium - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000000605 extraction Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 3
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- 230000006870 function Effects 0.000 description 3
- 230000008520 organization Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000009432 framing Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 1
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- 238000010295 mobile communication Methods 0.000 description 1
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
- G06F16/532—Query formulation, e.g. graphical querying
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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
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
Abstract
The embodiment of the invention discloses a picture information retrieval method, a picture information retrieval device, picture information retrieval equipment and a picture information retrieval medium. The method comprises the following steps: acquiring a picture to be retrieved; extracting at least two preset types of feature information in the picture to be retrieved; and searching is respectively carried out based on each type of the characteristic information of the preset type so as to obtain a searching result matched with the characteristic information of each type of the preset type, so that the problem that the picture searching process is very complicated is solved, the picture searching process is simplified, and the picture searching efficiency is improved.
Description
Technical Field
The embodiment of the invention relates to retrieval technologies, in particular to a picture information retrieval method, a picture information retrieval device, picture information retrieval equipment and a picture information retrieval medium.
Background
When a public security organization acquires a picture related to a case, the public security organization needs to search based on feature information contained in the picture to acquire clue information related to the case.
The current picture retrieval method comprises the following steps: when a user takes a picture of a target person, the user needs to manually judge which feature information in the picture can be used, and then enters different retrieval functional areas of the picture retrieval system to perform specific type retrieval according to the types of the usable feature information. Taking a passerby image retrieval as an example, if the type of the usable feature information is determined to be a face feature, a face retrieval functional area of an image retrieval system needs to be entered for face retrieval, and only a face result can be retrieved. If the type of the available feature information is determined to be the human body feature, the user needs to enter a human body retrieval functional area of the picture retrieval system to perform human body retrieval, and only human body results can be retrieved.
Therefore, the above image retrieval method has very complicated flow and low retrieval efficiency.
Disclosure of Invention
Embodiments of the present invention provide a method, an apparatus, a device, and a medium for retrieving picture information, so as to achieve the purpose of quickly retrieving based on feature information in a picture to be retrieved, simplify a retrieval process, and improve retrieval efficiency.
In a first aspect, an embodiment of the present invention provides a picture information retrieval method, where the method includes:
acquiring a picture to be retrieved;
extracting at least two preset types of feature information in the picture to be retrieved;
and respectively searching based on the characteristic information of each preset type to obtain a searching result matched with the characteristic information of each preset type.
In a second aspect, an embodiment of the present invention further provides a picture information retrieval apparatus, where the apparatus includes:
the image to be retrieved acquiring module is used for acquiring an image to be retrieved;
the characteristic information extraction module is used for extracting at least two preset types of characteristic information in the picture to be retrieved;
and the retrieval result acquisition module is used for retrieving based on each preset type of feature information respectively so as to obtain a retrieval result matched with each preset type of feature information.
In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the picture information retrieval method provided by any embodiment of the invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the picture information retrieval method according to any embodiment of the present invention.
The embodiment of the invention obtains the picture to be retrieved; extracting at least two preset types of feature information in the picture to be retrieved; and searching is respectively carried out based on each type of the characteristic information of the preset type so as to obtain a searching result matched with the characteristic information of each type of the preset type, so that the problem that the picture searching process is very complicated is solved, the picture searching process is simplified, and the picture searching efficiency is improved.
Drawings
Fig. 1 is a flowchart of a picture information retrieval method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a picture information retrieval method according to a second embodiment of the present invention;
FIG. 3 is a screenshot of a set search criteria interface;
fig. 4 is a flowchart of a picture information retrieval method according to a third embodiment of the present invention;
FIG. 5 is a block diagram of a picture information retrieval apparatus according to a fourth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an apparatus in the fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a picture information retrieval method according to an embodiment of the present invention, which is applicable to a picture information retrieval situation and can be executed by a picture information retrieval device. As shown in fig. 1, the method specifically includes the following steps:
and S110, obtaining the picture to be retrieved.
For example, the picture to be retrieved may be obtained from a public security organization or a monitoring hospital, the picture to be retrieved may be related to a certain type of case, and the picture to be retrieved may be retrieved, so that more clues related to the case may be obtained, which is beneficial to the case detection.
And S120, extracting at least two preset types of feature information in the picture to be retrieved.
The type of the feature information is preset, and the preset type includes but is not limited to: a human face type, a human body type, a motor vehicle type, or a non-motor vehicle type. And after the picture to be retrieved is uploaded to the picture retrieval system, the picture retrieval system automatically extracts corresponding feature information from the picture to be retrieved according to the preset feature information type. And before uploading the picture to be retrieved, the characteristic information type of the picture to be retrieved is manually pre-judged, the picture enters a corresponding retrieval functional area of the picture retrieval system according to a pre-judgment result, and then the picture to be retrieved is uploaded. Therefore, the picture information retrieval method of the embodiment simplifies the steps of feature information extraction, and further improves the retrieval efficiency.
Illustratively, the extracting of at least two preset types of feature information in the picture to be retrieved includes: and extracting at least two preset types of feature information in the picture to be retrieved by setting an image recognition algorithm. Each preset type is provided with a corresponding image recognition algorithm, and the image to be detected is subjected to feature extraction by applying the image recognition algorithm corresponding to the preset type, so that the extracted feature information is more accurate. Illustratively, if the preset type is a face type and a human body type, extracting face information in the picture to be retrieved through a face recognition algorithm, and extracting human body information in the picture to be retrieved through a human body recognition algorithm.
S130, searching is respectively carried out based on the characteristic information of each preset type, so that a searching result matched with the characteristic information of each preset type is obtained.
The retrieving based on each kind of the feature information of the preset type respectively to obtain a retrieval result matched with the feature information of each kind of the preset type includes: calling a matched target retrieval algorithm based on each preset type of feature information respectively; and receiving the retrieval result returned by each target retrieval algorithm. After the feature information in the picture to be retrieved is obtained, the feature information is retrieved according to the preset types, each preset type feature type has a corresponding target retrieval algorithm, different types of feature information can be retrieved simultaneously, the problem that only one type of feature information can be retrieved at a time is solved, the retrieval steps are simplified, and the retrieval efficiency is improved. Illustratively, a face retrieval algorithm and a human body retrieval algorithm are respectively called to simultaneously retrieve the face and the human body in the picture to be retrieved, and a face retrieval result and a human body retrieval result are respectively obtained.
On the basis of the above embodiment, the picture information retrieval method further includes: displaying the retrieval results according to the sequence returned by the retrieval results; and each retrieval result corresponds to one label, and the retrieval results are displayed in a multi-label mode. And simultaneously retrieving the pictures to be retrieved according to the retrieval types, wherein the retrieval results corresponding to each retrieval type have time difference when returned, an asynchronous loading mechanism is adopted, the retrieval results are loaded and displayed according to the returned sequence, after one type of retrieval results are returned, the retrieval results of the type are loaded firstly, and then the retrieval results returned later are loaded. The advantages of such an arrangement are: the user can check and analyze the search results returned first, and the user does not need to check and analyze the search results after all the search results are returned, so that the time for the user to check and analyze the search results is saved. Each retrieval result corresponds to one label, and the retrieval results are displayed in a multi-label mode, so that the method has the advantages that: the user can conveniently and quickly switch and check the retrieval result, and the experience of the user is enhanced.
It should be noted that the source of the to-be-detected picture and the preset retrieval type in the embodiment of the present invention are merely examples in the present invention, and are not limited, the to-be-detected picture may also be obtained from other departments that need to perform picture information retrieval, the retrieval type is set according to the retrieval requirement of the department, and a corresponding retrieval algorithm is written for each retrieval type, so as to retrieve the to-be-retrieved picture and obtain the picture information related to the to-be-retrieved picture.
According to the technical scheme of the embodiment, the picture to be retrieved is obtained; extracting at least two preset types of feature information in the picture to be retrieved; the retrieval is carried out based on each type of the characteristic information of the preset type respectively so as to obtain the retrieval result matched with the characteristic information of each type, the type of the characteristic information of the picture to be retrieved does not need to be artificially judged, the simultaneous retrieval of the characteristic information of various types can be realized, the problem that the picture retrieval process is very complicated is solved, the picture retrieval process is simplified, and the picture retrieval efficiency is improved.
Example two
Fig. 2 is a flowchart of a picture information retrieval method according to a second embodiment of the present invention, which is further optimized based on the second embodiment, and optionally, the picture information retrieval method further includes: receiving a retrieval type setting instruction; correspondingly, the retrieving based on each of the preset types of feature information includes: the retrieval is carried out based on the characteristic information of each preset type matched with the retrieval type setting instruction, so that the retrieval types can be selected according to the requirements of users, useless retrieval is avoided, and the retrieval efficiency is improved.
As shown in fig. 2, the method specifically includes the following steps:
and S210, obtaining the picture to be retrieved.
S220, extracting at least two preset types of feature information in the picture to be retrieved.
And S230, receiving a retrieval type setting instruction.
The retrieval type is preset, and the system performs retrieval according to all the preset retrieval types by default. When the user only needs to search some of the search types, the search types can be set, the search types needing to be searched are selected, and after the user finishes the selection, the system receives a setting instruction of the search types and searches according to the instruction. As shown in fig. 3, the set retrieval types are a face type and a body type, and the user can preview the retrieval types, determine whether the retrieval types meet the requirements, and adjust the retrieval types.
And S240, retrieving respectively based on the feature information of each preset type matched with the retrieval type setting instruction so as to obtain a retrieval result matched with the feature information of each preset type.
After the system receives the setting instruction of the retrieval type, only the retrieval type in the setting instruction is retrieved, so that the obtained retrieval result is more in line with the requirements of users, useless retrieval is avoided, and the retrieval efficiency is improved. Exemplary, predetermined retrieval types include, but are not limited to: the system comprises a human face type, a human body type, a motor vehicle type or a non-motor vehicle type, when a user sets retrieval types as the human face type and the human body type according to needs, the system retrieves the picture to be detected only according to the human face type and the human body type, and other retrieval types do not retrieve. If the user does not set the retrieval type, the system defaults to retrieve according to all the retrieval types.
According to the technical scheme of the embodiment, the picture to be retrieved is obtained; extracting at least two preset types of feature information in the picture to be retrieved; receiving a retrieval type setting instruction; the retrieval is carried out based on the characteristic information of each preset type matched with the retrieval type setting instruction, the retrieval type can be set according to the requirement of a user, the obtained retrieval result is more in line with the requirement of the user, useless retrieval is avoided, and the retrieval efficiency is improved.
EXAMPLE III
Fig. 4 is a flowchart of a picture information retrieval method according to a third embodiment of the present invention, which is further optimized based on the third embodiment, and optionally, the picture information retrieval method further includes: receiving an interception instruction of the picture to be retrieved; determining a retrieval object according to the interception instruction; and searching based on the search object. The system searches according to the search object intercepted on the picture to be searched, so that the search result is more in line with the user requirement.
As shown in fig. 4, the method specifically includes the following steps:
and S310, obtaining the picture to be retrieved.
And S320, receiving an interception instruction of the picture to be retrieved.
When the feature information automatically extracted by the system cannot meet all requirements of the user, the user can select the picture on the picture in a self-defined mode, an intercepting instruction can be generated after the user finishes selecting the picture, and after the system receives the intercepting instruction of the picture to be retrieved, the framed part is intercepted. The user can select the picture for multiple frames on the picture to be detected as required, and the system carries out the picture capture according to the capture instruction generated by the multiple frames.
S330, determining a retrieval object according to the interception instruction.
And after the system intercepts the picture to be detected according to the intercepting instruction, taking the intercepted picture as a retrieval object. As shown in fig. 3, the captured image may be displayed in the capture preview, the user may check in the capture preview whether the captured retrieval object meets the requirement, if not, the image in the capture preview may be deleted, the image to be detected may be boxed again, and the system may capture the image again according to the capture instruction generated after the framing until the captured retrieval object meets the requirement of the user.
And S340, retrieving based on the retrieval object.
The user self-defines an intercepting instruction generated by framing the picture, and the system searches the picture intercepted according to the intercepting instruction as a search object, so that the search result is more in line with the needs of the user.
According to the technical scheme of the embodiment, the picture to be retrieved is obtained; receiving an interception instruction of the picture to be retrieved; determining a retrieval object according to the interception instruction; and searching based on the search object, and when the preset search type does not meet the user requirement, the system can search according to the user-defined search object, so that the search result is more in line with the user requirement.
Example four
Fig. 5 is a structural diagram of a picture information retrieval device according to a fourth embodiment of the present invention, the device including: a picture to be retrieved obtaining module 410, a feature information extracting module 420 and a retrieval result obtaining module 430.
The to-be-retrieved picture acquiring module 410 is configured to acquire a to-be-retrieved picture; the feature information extraction module 420 is configured to extract feature information of at least two preset types in the picture to be retrieved; and a retrieval result obtaining module 430, configured to perform retrieval based on each of the feature information of the preset types respectively to obtain a retrieval result matched with the feature information of each preset type.
Optionally, the preset types include: a human face type, a human body type, a motor vehicle type, or a non-motor vehicle type.
In the foregoing embodiment, the feature information extraction module 420 includes:
and the image recognition algorithm setting unit is used for extracting at least two preset types of feature information in the picture to be retrieved by setting an image recognition algorithm.
In the foregoing embodiment, the picture information retrieving apparatus further includes:
the instruction receiving module is used for receiving a retrieval type setting instruction;
and the retrieval module is used for retrieving based on the characteristic information of each preset type matched with the retrieval type setting instruction.
In the above embodiment, the retrieval result obtaining module 430 includes:
the target retrieval algorithm calling unit is used for calling the matched target retrieval algorithm based on each preset type of feature information;
and the retrieval result receiving unit is used for receiving the retrieval results returned by each target retrieval algorithm.
In the foregoing embodiment, the picture information retrieving apparatus further includes:
the retrieval result display module is used for displaying the retrieval results according to the sequence returned by the retrieval results;
optionally, each search result corresponds to one tag, and the search results are displayed in a multi-tag manner.
In the foregoing embodiment, the picture information retrieving apparatus further includes:
the intercepting instruction receiving module is used for receiving an intercepting instruction of the picture to be retrieved;
the retrieval object determining module is used for determining a retrieval object according to the interception instruction;
and the retrieval module is used for retrieving based on the retrieval object.
According to the technical scheme of the embodiment, the picture to be retrieved is obtained through the picture to be retrieved obtaining module; the characteristic information extraction module extracts at least two preset types of characteristic information in the picture to be retrieved; the retrieval result acquisition module respectively retrieves based on each preset type of feature information to acquire a retrieval result matched with the feature information of each preset type, does not need to artificially judge the type of the feature information of the picture to be detected, can realize simultaneous retrieval of multiple types of feature information, solves the problem of complicated picture retrieval process, simplifies the picture retrieval process and improves the picture retrieval efficiency.
The picture information retrieval device provided by the embodiment of the invention can execute the picture information retrieval method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE five
Fig. 6 is a schematic structural diagram of an apparatus according to a fifth embodiment of the present invention, as shown in fig. 6, the apparatus includes a processor 510, a memory 520, an input device 530, and an output device 540; the number of processors 510 in the device may be one or more, and one processor 510 is taken as an example in fig. 6; the processor 510, the memory 520, the input device 530 and the output device 540 of the apparatus may be connected by a bus or other means, as exemplified by the bus connection in fig. 6.
The memory 520 is a computer-readable storage medium and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the picture information retrieval method in the embodiment of the present invention (for example, the picture to be retrieved acquiring module 410, the feature information extracting module 420, and the retrieval result acquiring module 430 in the picture information retrieval device). The processor 510 executes various functional applications and data processing of the device/terminal/server by executing software programs, instructions and modules stored in the memory 520, that is, implements the picture information retrieval method described above.
The memory 520 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 520 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 520 may further include memory located remotely from the processor 510, which may be connected to the device/terminal/server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 530 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the apparatus. The output device 540 may include a display device such as a display screen.
EXAMPLE six
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a picture information retrieval method, including:
acquiring a picture to be retrieved;
extracting at least two preset types of feature information in the picture to be retrieved;
and respectively searching based on the characteristic information of each preset type to obtain a searching result matched with the characteristic information of each preset type.
Of course, the storage medium provided by the embodiment of the present invention includes computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the picture information retrieval method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A picture information retrieval method is characterized by comprising the following steps:
acquiring a picture to be retrieved;
extracting at least two preset types of feature information in the picture to be retrieved;
and respectively searching based on the characteristic information of each preset type to obtain a searching result matched with the characteristic information of each preset type.
2. The picture information retrieval method according to claim 1, wherein the preset type includes: a human face type, a human body type, a motor vehicle type, or a non-motor vehicle type.
3. The picture information retrieval method according to claim 1, wherein extracting at least two preset types of feature information in the picture to be retrieved includes:
and extracting at least two preset types of feature information in the picture to be retrieved by setting an image recognition algorithm.
4. The picture information retrieval method according to any one of claims 1 to 3, further comprising:
receiving a retrieval type setting instruction;
correspondingly, the retrieving based on each of the preset types of feature information includes:
and searching based on the characteristic information of each preset type matched with the searching type setting instruction.
5. The picture information retrieval method according to any one of claims 1 to 3, wherein the retrieving based on each of the feature information of the preset types respectively to obtain a retrieval result matching with the feature information of each preset type includes:
calling a matched target retrieval algorithm based on each preset type of feature information respectively;
and receiving the retrieval result returned by each target retrieval algorithm.
6. The picture information retrieval method according to claim 5, further comprising:
displaying the retrieval results according to the sequence returned by the retrieval results;
and each retrieval result corresponds to one label, and the retrieval results are displayed in a multi-label mode.
7. The picture information retrieval method according to any one of claims 1 to 3, further comprising:
receiving an interception instruction of the picture to be retrieved;
determining a retrieval object according to the interception instruction;
and searching based on the search object.
8. A picture information retrieval apparatus, comprising:
the image to be retrieved acquiring module is used for acquiring an image to be retrieved;
the characteristic information extraction module is used for extracting at least two preset types of characteristic information in the picture to be retrieved;
and the retrieval result acquisition module is used for retrieving based on each preset type of feature information respectively so as to obtain a retrieval result matched with each preset type of feature information.
9. An apparatus, characterized in that the apparatus comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the picture information retrieval method as recited in any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a picture information retrieval method according to any one of claims 1 to 7.
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| CN112347307A (en) * | 2020-09-17 | 2021-02-09 | 浙江大华技术股份有限公司 | Non-motor vehicle image retrieval method, device, system and storage medium |
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| CN110020185A (en) * | 2017-12-29 | 2019-07-16 | 国民技术股份有限公司 | Intelligent search method, terminal and server |
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| CN112347307A (en) * | 2020-09-17 | 2021-02-09 | 浙江大华技术股份有限公司 | Non-motor vehicle image retrieval method, device, system and storage medium |
| CN112347307B (en) * | 2020-09-17 | 2023-05-12 | 浙江大华技术股份有限公司 | Method, device, system and storage medium for retrieving non-motor vehicle images |
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