EP4630914A1 - Procédé de génération d'une application de traitement d'au moins un flux multimédia, dispositif et programme d'ordinateur associés - Google Patents
Procédé de génération d'une application de traitement d'au moins un flux multimédia, dispositif et programme d'ordinateur associésInfo
- Publication number
- EP4630914A1 EP4630914A1 EP23818368.5A EP23818368A EP4630914A1 EP 4630914 A1 EP4630914 A1 EP 4630914A1 EP 23818368 A EP23818368 A EP 23818368A EP 4630914 A1 EP4630914 A1 EP 4630914A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- function
- elementary
- processing
- processing function
- instantiated
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/34—Graphical or visual programming
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/36—Software reuse
Definitions
- the field of the invention is that of so-called computer vision applications whose aim is to process multimedia streams. More specifically, the invention relates to computer vision applications assembled in a graphical or “low code” manner.
- each elementary processing function corresponds to a functional block, for example a “facial recognition” block, an “image resizing” block, etc.
- a person wishing to generate a specific application such as for example a computer vision application, selects several functional blocks belonging to a library of elementary processing functions made available to him, and assembles them in an ordered manner in order to generate the application allowing to obtain the expected treatment.
- a disadvantage of these solutions is that the different functional blocks offered by a “low code” or “no code” application generation service provider are instantiated on the same computing node.
- the computing node on which these functional blocks are instantiated may not have the resources necessary for the proper execution of certain elementary processing functions. In such a scenario, the computer vision application does not offer satisfactory quality of service.
- the invention meets this need by proposing a method for generating an application for processing at least one multimedia stream, said application comprising an assembly of elementary processing functions.
- Such a method is particular in that it is implemented by an application generation module comprising the following steps of:
- association of a configuration file comprising at least one parameter relating to at least one first elementary processing function generating data intended to be processed by said given elementary processing function.
- a computing node can be a camera, a display device such as a screen or a smartphone, a virtual machine, a computing node of a cluster of Kubernetes type nodes, a server, a personal computer, a processor or CPU (for “Central Processing Unit”), a graphics card or GPU (for “Graphical Processing Unit”) etc.
- Such a configuration file can be automatically generated by the generation module, for example when the parameters relating to an elementary processing function are associated with the latter in the functional block library.
- the simple selection of the elementary processing functions to assemble triggers the generation of the corresponding configuration files.
- the configuration file can also be generated by a user of the generation module for each elementary processing function.
- Such an implementation allows greater flexibility in the ordering of elementary processing functions among themselves since the user has the possibility to choose which are the inputs for a given elementary processing function instead of being constrained by the information provided by the function block library.
- Such a process makes it possible to benefit from the advantages of so-called “low code” or “no code” techniques while offering the possibility of selecting elementary functions instantiated on suitable computing nodes.
- Such a method also makes it possible to pool elementary processing functions between several distinct multimedia stream processing applications.
- the parameter relating to said first elementary processing function provided by the configuration file includes, among other things: - a network address of said calculation node on which said first elementary processing function is instantiated,
- Such information allows the given elementary processing function to identify the computing node concerned and to be able to collect the appropriate data from the latter.
- This information is also easily identifiable and understandable for a user who can then easily introduce it himself into a configuration file.
- the parameter relating to said first elementary processing function constitutes an argument of said given selected elementary processing function.
- the configuration file further comprises, for said given selected elementary processing function:
- Such a supply module belongs to the group further comprising:
- the data generated by its execution are intended to be either provided as input to another elementary processing function which will apply them additional processing, or provided to display and/or storage modules.
- display and/or storage modules can be embedded in the computing node.
- the invention also relates to a method for processing at least one multimedia stream by a processing application comprising an assembly of elementary processing functions, an elementary processing function being instantiated on a computing node executing said elementary function.
- Such a processing method is particular in that it is implemented by a calculation node and that it comprises a step of: obtaining data contained in said multimedia stream to be processed, - processing, by said elementary processing function instantiated on said node, said data obtained,
- the data obtained are provided by at least one elementary processing function identified in a configuration file of said elementary processing function instantiated on said node.
- the different elementary processing functions constituting the application are provided with a configuration file comprising the information allowing a given elementary processing function to identify the calculation node from which to collect the data that she must treat. This information, being arguments of the given elementary processing function, is provided to it during generation of the application.
- each elementary processing function is able to collect the data it must process.
- the data obtained is acquired by the computing node itself.
- the data obtained may be accompanied by metadata associated with them, said metadata having also been generated by the elementary processing function identified in the configuration file of said elementary processing function instantiated on said node.
- This metadata may contain information relating to processing previously performed on images in the media stream.
- This metadata is included in a data field of said at least one stream, relating to at least one still image to be processed.
- the metadata are for example included in an AAPn or COM field in the JPEG format or in one of the iTXt, tEXt and zTXt fields in the PNG format.
- the invention also relates to a module for generating an application for processing at least one multimedia stream, said application comprising an assembly of elementary processing functions.
- Such an application generation module includes means for:
- the invention also relates to a calculation node on which at least one elementary processing function included in an application for processing a multimedia stream is instantiated.
- Such a calculation node executes said elementary function and comprises at least one processor configured to:
- the invention finally relates to computer program products comprising program code instructions for implementing the methods as described above, when executed by a processor.
- the invention also relates to a computer-readable recording medium on which computer programs are recorded comprising program code instructions for executing the steps of the methods according to the invention as described above.
- Such a recording medium can be any entity or device capable of storing the programs.
- the medium may comprise a storage means, such as a ROM, for example a CD ROM or a microelectronic circuit ROM, or even a magnetic recording means, for example a USB key or a hard disk.
- such a recording medium may be a transmissible medium such as an electrical or optical signal, which may be conveyed via an electrical or optical cable, by radio or by other means, so that the programs computer it contains can be executed remotely.
- the programs according to the invention can in particular be downloaded over a network, for example the Internet network.
- the recording medium can be an integrated circuit in which the programs are incorporated, the circuit being adapted to execute or to be used in the execution of the aforementioned methods which are the subject of the invention.
- Figure 1 this figure represents a system in which the present invention is implemented
- FIG. 2 this figure represents the different steps implemented to generate an application for processing a multimedia stream
- Figure 3 this figure represents a first example of assembly of elementary processing functions
- Figure 4 this figure represents a second example of assembly of elementary processing functions
- FIG. 5 this figure represents the different steps implemented to process a multimedia stream by means of a processing application shown in Figure 3 and obtained according to the method described with reference to Figure 2,
- FIG. 6 this figure represents a generation module according to one embodiment of the invention.
- a generation module is able to implement the method for generating an application for processing a multimedia stream according to Figure 2.
- the general principle of the invention is based on the generation of an application for processing a multimedia stream comprising an assembly of elementary processing functions, these elementary processing functions being instantiated on calculation nodes.
- a configuration file is provided to each elementary processing function in order to carry out this assembly.
- Such a system is a distributed system in which a plurality of computing nodes communicate with each other to process a multimedia stream.
- the system thus represented comprises, for example, an application generation module 10 for processing a multimedia stream.
- a generation module 10 is for example embedded in a server or in a virtual machine operated by a provider of multimedia stream processing services.
- Such a generation module 10 comprises a library 12 of FTE elementary processing functions, or functional blocks.
- Such elementary FTE processing functions are for example a function for acquiring images representative of a scene, a function for resizing an image, a colorimetry function, an object detection function, a function of displaying multimedia content or storing multimedia content, etc.
- Each of these elementary processing functions FTE is instantiated on a computing node 11-i having the resources necessary for the execution of the elementary processing function FTE instantiated.
- a single computing node can instantiate several FTE elementary processing functions.
- a calculation node can be any equipment or device having the resources necessary for the execution of an elementary processing function.
- a computing node can be a camera, a display device such as a screen or a smartphone, a virtual machine, a computing node of a cluster of Kubernetes type nodes, a server, a personal computer, a CPU, a GPU, etc.
- calculation nodes 11-1 to 11-4 are represented in Figure 1, the number of calculation nodes involved in the implementation of the present solution depends on the number of elementary processing functions FTE assembled to constitute the application for processing a multimedia stream.
- FTE elementary processing functions
- three types of FTE elementary processing functions are considered.
- a first type of elementary processing functions is qualified as an FTES source, a second type is qualified as an FTEO operation and a third type is qualified as an FTEP sink.
- An FTES source function is an elementary processing function having no input but at least one output.
- An FTES source function is for example a function for decoding images acquired by a camera or a demosaicing function.
- An FTES source function can also read the data that it must process from a memory.
- An output of an elementary processing function is for example a port of the calculation node 11-i on which it is instantiated and via which the data generated by the elementary processing function are provided (or made accessible).
- An FTEO operation function is an intermediate processing function having one or more inputs and one or more outputs. Such an FTEO operation function obtains data to be processed on each of its inputs from an output of another elementary processing function FTE source or operation and makes accessible the data that it has generated on each of its outings.
- an FTEP sink function is an elementary processing function having no output but at least one input.
- An FTEP sink function is for example a display device or a data storage module.
- a multimedia stream processing application is an assembly of at least one FTES source function and at least one FTEP sink function. Such an application may also include at least one FTEO operation function.
- Figure 2 represents the different steps implemented to generate an application for processing a multimedia stream.
- the generation module 10 selects, in the library 12, at least one FTES source function, in the example described this is the “Camera” source function, at least one FTEO operation function, in the example described two operation functions are selected: a first “Resize” operation function which resizes the size of the images and a second “YOLO” operation function (for “You Only Look Once” in English) which detects objects in an image, and at least one FTEP “Viz” sink function which allows the results of the different treatments applied to be displayed on a screen.
- FTES source function in the example described this is the “Camera” source function
- at least one FTEO operation function in the example described two operation functions are selected: a first “Resize” operation function which resizes the size of the images and a second “YOLO” operation function (for “You Only Look Once” in English) which detects objects in an image, and at least one FTEP “Viz” sink function which allows the results of the different treatments applied to be displayed on a screen
- An end user can interact with the generation module 10 by means of a man-machine interface (not shown in the figures) such as a touch screen or a screen-keyboard pair in order to transmit to the generation module 10 instructions allowing to select the different FTE elementary functions to assemble. Once the different elementary FTE processing functions have been selected, they are assembled in order to generate the processing application for a multimedia stream.
- a man-machine interface such as a touch screen or a screen-keyboard pair
- FC configuration file is provided to each of the selected FTE elementary processing functions.
- an FC configuration file is generated during a step E2.
- an FC configuration file can be automatically generated by the generation module 10, for example when the parameters relating to an elementary processing function are associated with the latter in the library 12.
- the selection and the scheduling of the FTE elementary processing functions to be assembled together triggers the generation of the corresponding configuration file(s).
- the FC configuration file can also be generated by the user of the generation module 10.
- the FC configuration file can also be generated by the user of the generation module 10.
- such an FC configuration file includes at least one identifier of at least one output or supply module on which the data processed or generated by the FTES source function is intended to be made accessible.
- Such an identifier is for example a port/path pair, or “port” corresponding to a port number of the calculation node on which the FTE function is instantiated and “path” is a parameter identifying the FTE elementary processing function having rendered the accessible data.
- the “port” parameter is particularly useful when the same computing node instantiates several FTE elementary processing functions.
- such an FC configuration file comprises at least one identifier of at least one input and at least one identifier of at least one output on which the data processed or generated by the FTEO operation function are intended to be provided.
- such an FC configuration file includes for each entry of the FTEO operation function a network address of a calculation node on which at least one FTS source function and/or at least one other operation function are instantiated. , these elementary processing functions providing data to be processed to the FTEO operation function, a port of the calculation nodes concerned on which these FTES source functions and/or these FTEO operation functions provide the generated data and an identifier of these FTES source functions and/or these FTEO operation functions.
- the FC configuration file also includes at least one identifier of at least one output on which the data processed or generated by the FTEO operation function is intended to be provided.
- such an FC configuration file includes for each entry of the FTEP sink function a network address of a calculation node on which at least one FTS source function and/or at least one operation function are instantiated, these elementary processing functions providing data to be processed to the FTEP sink function, a port of the calculation nodes concerned on which these FTES source functions and/or these FTEO operation functions provide the generated data and an identifier of these FTES source functions and/or these FTEO operation functions.
- Figure 3 represents a first example of assembly of FTE elementary processing functions.
- Such an assembly includes an FTES “Camera” source function configured to decode images acquired by a camera.
- This source function has a single output.
- Such a source function is for example instantiated on a calculation node 11-1 of CPU type.
- the assembly then includes a first “Resize” operation function which resizes the images acquired by the camera.
- the “Resize” function has an input that collects the data provided by the “Camera” function and a single output.
- Such an operation function is for example instantiated on a calculation node 11-2 of CPU type.
- the assembly includes a second “YOLO” operation function which detects and identifies objects present in the images acquired by the camera.
- the “YOLO” function has a single input that collects the data provided by the “Resize” function and a single output.
- Such an operation function is for example instantiated on a GPU type calculation node 11-3.
- the assembly includes an FTEP “Viz” well function that displays the images acquired by the camera on a screen.
- the "Viz” function has a single input that collects the data provided by the "YOLO” function and does not include any output.
- Such a sink function is for example instantiated on a calculation node 11-4 of CPU type.
- FC1 configuration file for the “Camera” function includes the following data:
- FC2 configuration file for the “Resize” function includes the following data:
- FC3 configuration file for the “YOLO” function includes the following data:
- /YOLO is the identifier of the second operation function
- 192.168.5.1 is the network address of the calculation node 11-2 on which the "Resize” function » is instantiated
- 8080/rsz the port/path pair of the calculation node on which the “Resize” function is instantiated and on which the data processed by the “Resize” function are provided
- -port 8080 the module identifier of supply on which the data processed by the “YOLO” function are made accessible.
- FC4 configuration file for the “Viz” function includes the following data:
- /Viz 192.168.10.1 8080/objs, where /Viz is the identifier of the second sink function, 192.168.10.1 is the network address of the calculation node 11-3 on which the “YOLO” function is instantiated and 8080/objs the port/path pair of the calculation node on which the “YOLO” function is instantiated and on which the data processed by the “YOLO” function is provided.
- each FTE elementary processing function knows from which computing node to obtain the data it must process and on which access module it must make its own data accessible.
- Figure 4 represents a second example of assembly of FTE elementary processing functions.
- Such an assembly includes an FTES “Camera” source function configured to decode images acquired by a camera.
- This source function has a single output.
- Such a source function is for example instantiated on a calculation node 11-1 of CPU type.
- the assembly then includes a first “Resize” operation function which resizes the images acquired by the camera.
- the “Resize” function has one input that collects the data provided by the “Camera” function and two outputs.
- Such an operation function is for example instantiated on a calculation node 11-2 of CPU type.
- the assembly includes a second “YOLO” operation function which detects and identifies objects present in the images acquired by the camera.
- the “YOLO” function has a single input that collects the data provided by the “Resize” function and a single output.
- Such an operation function is for example instantiated on a GPU type calculation node 11-3.
- the assembly includes a third “Face” operation function which detects, for example, faces present in the images acquired by the camera.
- the “Face” function has a single input that collects the data provided by the “Resize” function and a single output.
- Such an operation function is for example instantiated on a GPU type calculation node 11-5.
- the assembly includes an FTEP “Viz” well function that displays the images acquired by the camera on a screen.
- the "Viz” function has two inputs, a first input which collects the data provided by the "YOLO” function and a second input which collects the data provided by the "Face” function and contains no output.
- a sink function is for example instantiated on a calculation node 11-4 of CPU type.
- FC1 configuration file for the “Camera” function includes the following data:
- FC2 configuration file for the “Resize” function includes the following data:
- FC5 configuration file for the “Face” function includes the following data:
- FC4 configuration file for the “Viz” function includes the following data:
- /Viz 192.168.15.1:8080/fcs
- /Viz is the identifier of the second sink function
- 192.168.10.1 is the network address of the calculation node 11-3 on which the “YOLO” function is instantiated and 8080/objs the port/path pair of the calculation node on which the “YOLO” function is instantiated and on which the data processed by the “YOLO” function are provided
- 192.168.15.1 is the network address of the calculation node 11-5 on which the “Face” function is instantiated and 8080/fcs the port/path pair of the calculation node on which the “Face” function is instantiated and on which the data processed by the “Face” function is provided.
- each FTE elementary processing function knows from which computing node to obtain the data it must process and on which supply module it must make its own data accessible.
- FC configuration files are considered as arguments of the FTE elementary processing functions which are provided to them as a preamble to their execution.
- Figure 5 represents the different steps implemented to process a multimedia stream by means of the processing application represented in Figure 3 and obtained according to the method described with reference to Figure 2.
- a source function here the “Camera” function, acquires images of a scene which it decodes during a step G2.
- the “Camera” function also generates metadata relating to the decoded images.
- metadata are for example, a camera identifier, a resolution of the latter, a timestamp of the captured images, a geolocation of the captured images, etc.
- metadata are included for example in the AAPn field (for “Application Specific”) or the COM field (for “Comment”) of the JPEG format (for “Joint Photography Experts Group”) in which the images are encoded.
- Other still image processing formats and their corresponding data fields can of course be used, such as for example the PNG format with among others the fields iTXt, tEXt and zTXt, etc.
- the “Camera” function provides the decoded images and their metadata on port 8080 of the calculation node 11-1 on which the “Camera” function is instantiated in a step G3.
- the “Resize” function obtains, in accordance with the information included in its FC1 configuration file, the data provided by the “Camera” function.
- the “Resize” function processes the latter in a step G5.
- the “Resize” function also generates metadata relating to the resized images, this metadata can still include information generated by the “Camera” function, such as timestamp information for example.
- the “Resize” function provides the resized images and their metadata on port 8080 of the calculation node 11-2 on which the “Resize” function is instantiated in a G6 step.
- the “YOLO” function obtains, in accordance with the information included in its FC2 configuration file, the data provided by the “Resize” function.
- the “YOLO” function processes the latter during a step G8.
- the "YOLO” function also generates metadata relating to the objects identified in the resized images, this metadata can still include the information generated by the "Camera” function and the "Resize” function, such as timestamp information for example, as well as as information relating to the identified objects such as their name, their position in the image, etc.
- the “YOLO” function provides the resized images and their metadata on port 8080 of the calculation node 11-3 on which the “YOLO” function is instantiated in a step G9.
- the “Viz” function obtains, in accordance with the information included in its FC configuration file, the data provided by the “YOLO” function.
- the “Viz” function processes the latter in a Gll step and the images thus processed are thus displayed on a screen.
- Figure 6 represents a generation module 10 according to one embodiment of the invention.
- a generation module 10 is capable of implementing the method of generating an application for processing a multimedia stream according to Figure 2.
- a generation module 10 may comprise at least one hardware processor 61, a storage unit 62, at least one interface 63, and at least one man-machine interface 64 which are connected to each other via a bus 65.
- the constituent elements of the generation module 10 can be connected by means of a connection other than a bus.
- the processor 61 controls the operations of the generation module 10.
- the storage unit 62 stores at least one program for implementing the method according to one embodiment of the invention to be executed by the processor 61, and various data, such as parameters used for calculations carried out by the processor 61, intermediate data from calculations carried out by the processor 61, etc.
- the processor 61 can be formed by any known and suitable hardware or software, or by a combination of hardware and software.
- the processor 61 can be formed by a dedicated hardware such as a processing circuit, or by a programmable processing unit such as a Central Processing Unit which executes a program stored in a memory thereof.
- the storage unit 62 may be formed by any suitable means capable of storing the program(s) and data in a computer-readable manner.
- Examples of storage unit 62 include non-transitory computer-readable storage media such as solid-state memory devices, and magnetic, optical, or magneto-optical recording media loaded into a read and read unit. 'writing.
- the interface 63 provides a connection between the generation module 10 and all of the calculation nodes 11-i of the system.
- the man-machine interface 64 can be a touch screen or a set comprising a keyboard, a mouse and a screen.
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Abstract
Description
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR2213083A FR3143155A1 (fr) | 2022-12-09 | 2022-12-09 | Procédé de génération d’une application de traitement d’au moins un flux multimédia, dispositif et programme d'ordinateur associés |
| PCT/EP2023/084177 WO2024121075A1 (fr) | 2022-12-09 | 2023-12-04 | Procédé de génération d'une application de traitement d'au moins un flux multimédia, dispositif et programme d'ordinateur associés |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP4630914A1 true EP4630914A1 (fr) | 2025-10-15 |
Family
ID=85381094
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP23818368.5A Pending EP4630914A1 (fr) | 2022-12-09 | 2023-12-04 | Procédé de génération d'une application de traitement d'au moins un flux multimédia, dispositif et programme d'ordinateur associés |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4630914A1 (fr) |
| FR (1) | FR3143155A1 (fr) |
| WO (1) | WO2024121075A1 (fr) |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6370569B1 (en) * | 1997-11-14 | 2002-04-09 | National Instruments Corporation | Data socket system and method for accessing data sources using URLs |
| US6526566B1 (en) * | 1997-11-14 | 2003-02-25 | National Instruments Corporation | Graphical programming system and method including nodes for programmatically accessing data sources and targets |
| US7134085B2 (en) * | 2000-12-13 | 2006-11-07 | National Instruments Corporation | System and method for automatically configuring program data exchange |
| US7200529B2 (en) * | 2003-08-15 | 2007-04-03 | National Instruments Corporation | Automatic configuration of function blocks in a signal analysis system |
| US20080005752A1 (en) * | 2006-06-30 | 2008-01-03 | Robert Paul Morris | Methods, systems, and computer program products for generating application processes by linking applications |
| US8015546B2 (en) * | 2007-08-03 | 2011-09-06 | International Business Machines Corporation | Rapidly assembling and deploying selected software solutions |
| US10541930B2 (en) * | 2015-08-28 | 2020-01-21 | Softnas Operating Inc. | Automated data flows using flow-based data processor blocks |
| US10180823B2 (en) * | 2016-09-16 | 2019-01-15 | Oracle International Corporation | Systems and methods for building applications using building blocks linkable with metadata |
| JP2018107650A (ja) * | 2016-12-27 | 2018-07-05 | TsZ株式会社 | スティッチング処理制御装置 |
-
2022
- 2022-12-09 FR FR2213083A patent/FR3143155A1/fr active Pending
-
2023
- 2023-12-04 EP EP23818368.5A patent/EP4630914A1/fr active Pending
- 2023-12-04 WO PCT/EP2023/084177 patent/WO2024121075A1/fr not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| WO2024121075A1 (fr) | 2024-06-13 |
| FR3143155A1 (fr) | 2024-06-14 |
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