CN113724225B - Method and device for determining transmission quality of application program - Google Patents

Method and device for determining transmission quality of application program Download PDF

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Publication number
CN113724225B
CN113724225B CN202111013975.4A CN202111013975A CN113724225B CN 113724225 B CN113724225 B CN 113724225B CN 202111013975 A CN202111013975 A CN 202111013975A CN 113724225 B CN113724225 B CN 113724225B
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video
detected
graphic
application program
codes
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CN113724225A (en
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吴成凯
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Beijing Dajia Internet Information Technology Co Ltd
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Beijing Dajia Internet Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/02—Diagnosis, testing or measuring for television systems or their details for colour television signals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

The disclosure relates to a method and a device for determining transmission quality of an application program. The method for determining the transmission quality of the application program comprises the following steps: receiving a video to be detected transmitted by a transmitting end through an application program to be detected, wherein the video to be detected is obtained by combining each image frame of an original video with a first preset number of graphic codes, and the original video is a lossless video; identifying a graphic code in the video to be detected; and determining the definition of the video to be detected, which is transmitted by the application program to be detected, based on the identification result.

Description

Method and device for determining transmission quality of application program
Technical Field
The disclosure relates to the field of video processing, and in particular, to a method and a device for determining transmission quality of an application program.
Background
In the transmission quality evaluation of real-time conversation, the evaluation of the definition of the transmitted video is a necessary ring, and the correct evaluation of the definition after video transmission is important for improving the experience of audio and video products. At present, the actual conversation definition is evaluated mainly by using human eyes to observe and compare after screenshot/screen recording, and dividing the definition into a plurality of gears according to subjective scoring of a plurality of people. However, subjective evaluation is easily influenced by the state of an evaluating person, the professional knowledge of image quality and personal preference, and only one person is often not persuasive, and multiple persons are required to evaluate and then combine subjective quality evaluation experts to comprehensively obtain the conclusion of the definition. Therefore, subjective evaluation is difficult to quantify the definition result, and the cost of manpower and time is too high, and more than 20 people are generally needed to participate in evaluation for each evaluation to ensure enough accuracy.
Disclosure of Invention
The disclosure provides a method and a device for determining transmission quality of an application program, so as to at least solve the problems that in the related art, the definition can not be quantized after video transmission by subjective evaluation of human eyes and the labor cost is high.
According to a first aspect of an embodiment of the present disclosure, there is provided a method for determining transmission quality of an application program, including: receiving a video to be detected transmitted by a transmitting end through an application program to be detected, wherein the video to be detected is obtained by combining each image frame of an original video with a first preset number of graphic codes; identifying a graphic code in the video to be detected; and determining the definition of the video to be detected, which is transmitted by the application program to be detected, based on the identification result.
Optionally, the video to be detected is obtained by combining a first predetermined number of graphic codes in the form of a picture-in-picture with each image frame of the original video.
Optionally, the video to be detected includes a second predetermined number of sub-videos, where each image frame of the original video is combined with each of the second predetermined number of graphic code sets, where each graphic code set includes a first predetermined number of graphic codes with the same size, and each graphic code set includes graphic codes with different sizes.
Optionally, identifying the graphic code in the video to be detected by at least one of: acquiring YUV information of a video to be detected; acquiring RGB information of the video to be detected after rendering and playing; and recording and playing the screen of the terminal for detecting the video.
Optionally, determining the definition of the video to be detected transmitted by the application to be detected based on the recognition result includes: and determining the definition of the video to be detected, which is transmitted by the application program to be detected, based on the number and the size of the identified graphic codes.
Optionally, the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
Optionally, the graphic code comprises a graphic code or a bar code.
According to a second aspect of the embodiments of the present disclosure, there is provided a method for determining transmission quality of an application program, including: acquiring an original video; combining each image frame of the original video with a first preset number of graphic codes to obtain a video to be detected; and transmitting the video to be detected to a receiving end through the application program to be detected, so that the receiving end determines the definition of the video to be detected transmitted through the application program to be detected based on the identification result of the graphic code in the video to be detected.
Optionally, combining each image frame of the original video with a first predetermined number of graphics codes to obtain a video to be detected, including: and combining the first preset number of graphic codes with each image frame of the original video in a picture-in-picture mode to obtain the video to be detected.
Optionally, combining each image frame of the original video with a first predetermined number of graphics codes to obtain a video to be detected, including: acquiring a second preset number of graphic code sets, wherein each graphic code set comprises a first preset number of graphic codes with the same size, and each graphic code set comprises graphic codes with different sizes; combining each image frame of the original video with each graphic code set to obtain a second preset number of sub-videos; and taking the second preset number of sub videos as videos to be detected.
Optionally, the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
Optionally, the graphic code comprises a graphic code or a bar code.
According to a third aspect of the embodiments of the present disclosure, there is provided an apparatus for determining transmission quality of an application program, including: the video receiving unit is configured to receive a video to be detected transmitted by a transmitting end through an application program to be detected, wherein the video to be detected is obtained by combining each image frame of an original video with a first preset number of graphic codes; an identification unit configured to identify a graphic code in a video to be detected; and the definition determining unit is configured to determine the definition of the video to be detected, which is transmitted by the application program to be detected, based on the identification result.
Optionally, the video to be detected is obtained by combining a first predetermined number of graphic codes in the form of a picture-in-picture with each image frame of the original video.
Optionally, the video to be detected includes a second predetermined number of sub-videos, where each image frame of the original video is combined with each of the second predetermined number of graphic code sets, where each graphic code set includes a first predetermined number of graphic codes with the same size, and each graphic code set includes graphic codes with different sizes.
Optionally, the identifying unit is further configured to identify the graphic code in the video to be detected by at least one of: acquiring YUV information of a video to be detected; acquiring RGB information of the video to be detected after rendering and playing; and recording and playing the screen of the terminal for detecting the video.
Optionally, the sharpness determining unit is further configured to determine sharpness of the video to be detected, which is transmitted by the application to be detected, based on the number and the size of the identified graphic codes.
Optionally, the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
Optionally, the graphic code comprises a graphic code or a bar code.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an apparatus for determining transmission quality of an application program, including: a video acquisition unit configured to acquire an original video; the merging unit is configured to merge each image frame of the original video with a first preset number of graphic codes to obtain a video to be detected; the video sending unit is configured to transmit the video to be detected to the receiving end through the application program to be detected, so that the receiving end determines the definition of the video to be detected, which is transmitted through the application program to be detected, based on the identification result of the graphic code in the video to be detected.
Optionally, the merging unit is further configured to merge the first predetermined number of graphic codes with each image frame of the original video in a form of picture-in-picture to obtain the video to be detected.
Optionally, the merging unit is further configured to obtain a second predetermined number of graphic code sets, where each graphic code set contains a first predetermined number of graphic codes with the same size, and each graphic code set contains graphic codes with different sizes from each other; combining each image frame of the original video with each graphic code set to obtain a second preset number of sub-videos; and taking the second preset number of sub videos as videos to be detected.
Optionally, the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
Optionally, the graphic code comprises a graphic code or a bar code.
According to a fifth aspect of embodiments of the present disclosure, there is provided an electronic device, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement a method of determining transmission quality of an application according to the present disclosure.
According to a sixth aspect of embodiments of the present disclosure, there is provided a computer readable storage medium, which when executed by at least one processor, causes the at least one processor to perform the method of determining transmission quality of an application according to the present disclosure as above.
According to a seventh aspect of embodiments of the present disclosure, there is provided a computer program product comprising computer instructions which, when executed by a processor, implement a method of determining transmission quality of an application according to the present disclosure.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
according to the method and the device for determining the transmission quality of the application program, the graphic code and the lossless video are combined and then transmitted through the application program to be detected, and the definition of the video to be detected transmitted through the application program to be detected is determined by detecting the graphic code in the transmitted video, so that the definition of the video to be detected after transmission can be quantitatively and automatically evaluated, the evaluation accuracy is improved, and the labor cost is reduced. Therefore, the method and the device solve the problems that the definition can not be quantized after video transmission and the labor cost is high when the human eyes subjectively evaluate the definition in the related technology.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
Fig. 1 is an implementation scenario diagram illustrating a method of determining application transmission quality according to an exemplary embodiment of the present disclosure;
FIG. 2 is a flowchart showing a method for determining transmission quality of an application program, according to an exemplary embodiment;
FIG. 3 is a flowchart II illustrating a method of determining transmission quality of an application according to an exemplary embodiment;
FIG. 4 is a block diagram I of an apparatus for determining transmission quality of an application according to an exemplary embodiment;
FIG. 5 is a block diagram two of an apparatus for determining transmission quality of an application according to an exemplary embodiment;
fig. 6 is a block diagram of an electronic device 800 according to an embodiment of the disclosure.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The embodiments described in the examples below are not representative of all embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
It should be noted that, in this disclosure, "at least one of the items" refers to a case where three types of juxtaposition including "any one of the items", "a combination of any of the items", "an entirety of the items" are included. For example, "including at least one of a and B" includes three cases side by side as follows: (1) comprises A; (2) comprising B; (3) includes A and B. For example, "at least one of the first and second steps is executed", that is, three cases are juxtaposed as follows: (1) performing step one; (2) executing the second step; (3) executing the first step and the second step.
In view of the above problems, the present disclosure provides a method for determining transmission quality of an application program, which can quantitatively and automatically evaluate the definition of a video after transmission, improve the accuracy of evaluation, and reduce the labor cost. The following describes a video conference scenario as an example.
Fig. 1 is a schematic diagram illustrating an implementation scenario of a method for determining transmission quality of an application according to an exemplary embodiment of the present disclosure, and as illustrated in fig. 1, the implementation scenario includes a server 100, a user terminal 110, and a user terminal 120, where the user terminals are not limited to 2, including but not limited to devices such as a mobile phone, a personal computer, etc., and the user terminal may install an application for a video conference, and the server may be one server, or a plurality of servers form a server cluster, or may be a cloud computing platform or a virtualization center.
The user terminal 110 pre-records a real person video capable of simulating a conference scene, then, each image frame of the real person video is combined with a first preset number of image codes to obtain a video to be detected, the video to be detected is transmitted to the user terminal 120 through an application program for the video conference, after the user terminal 120 receives the video to be detected, the image codes in the transmitted video to be detected are identified, and based on the identification result, the definition of the video after the application program for the video conference is transmitted is determined. It should be noted that, the application program transmission to be detected video for the video conference is transmitted via the server 100. By the embodiment, the definition of the video after transmission can be quantitatively and automatically evaluated.
Next, a method and apparatus for determining transmission quality of an application according to an exemplary embodiment of the present disclosure will be described in detail with reference to fig. 2 to 5.
Fig. 2 is a flowchart illustrating a method for determining transmission quality of an application program according to an exemplary embodiment, and as shown in fig. 2, the method for determining transmission quality of an application program includes the steps of:
in step S201, a video to be detected transmitted by a transmitting end through an application program to be detected is received, where the video to be detected is obtained by combining each image frame of an original video with a first predetermined number of graphics codes. The graphic code may be pre-manufactured based on a time stamp or a random number, and may include, but is not limited to, a graphic code or a bar code. It should be noted that, in this step, when the sending end sends the video to be detected, the sending end performs encoding compression processing on the video to be detected, and then transmits the video to be detected to the receiving end through the application program to be detected, that is, the video to be detected received by the receiving end is the video processed by encoding compression, etc., and after the receiving end receives the transmitted video to be detected, the receiving end performs corresponding decoding processing.
According to an exemplary embodiment of the present disclosure, the video to be detected is obtained by combining a first predetermined number of graphic codes with each image frame of the original video in a picture-in-picture manner. By the embodiment, the graphic code and the original video can be conveniently and rapidly combined.
According to an exemplary embodiment of the present disclosure, the video to be detected includes a second predetermined number of sub-videos, where each image frame of the original video is respectively combined with each of a second predetermined number of graphic code sets, where each graphic code set includes a first predetermined number of graphic codes with the same size, and each graphic code set includes graphic codes with different sizes. According to the embodiment, the definition of the video transmitted by the application program to be detected is determined by transmitting a plurality of videos, so that the accuracy of detection can be improved.
Specifically, the second predetermined number of graphic code sets may be obtained by cutting a first predetermined number of graphic codes, which are previously manufactured based on a time stamp or a random number, and cutting the first predetermined number of graphic codes with the same size each time so as to obtain another graphic code set, where the size of the other graphic code set is the same, and the first predetermined number of graphic codes may be cut multiple times, so that a plurality of graphic code sets may be obtained, and the sizes of the graphic codes included in each graphic code set are different from each other, for example, 100 graphic codes are manufactured first, and then cutting is performed five times respectively, so as to obtain four groups of cut graphic code sets including an original size, and four groups of cut graphic code sets including sizes of 80%,60%,40% and 20% of the original size.
According to an exemplary embodiment of the present disclosure, the first predetermined number of graphic codes is graphic codes subjected to blurring processing. By the method and the device, the characteristic of easy identification of the two-dimensional code can be avoided, namely the fact that the identification result of the video to be detected transmitted by each application program to be detected is identical is prevented, and therefore detection accuracy can be improved. The blurring process may be gaussian blurring process or other blurring process, which is not limited in this disclosure.
Returning to fig. 2, in step S202, a graphic code in the video to be detected is identified.
According to an exemplary embodiment of the present disclosure, the graphic code in the video to be detected may be identified by at least one of: acquiring YUV information of a video to be detected; acquiring RGB information of the video to be detected after rendering and playing; and recording and playing the screen of the terminal for detecting the video. By the aid of the method and the device, the graphic code can be conveniently identified.
In step S203, the sharpness of the video to be detected transmitted through the application to be detected is determined based on the recognition result.
According to an exemplary embodiment of the present disclosure, determining the sharpness of the video to be detected transmitted through the application to be detected based on the recognition result may include: and determining the definition of the video to be detected, which is transmitted by the application program to be detected, based on the number and the size of the identified graphic codes. According to the method and the device for determining the definition of the video, the definition of the video after the application program to be detected is transmitted is determined based on the number and the size of the graphic codes, and the method and the device are convenient, quick and low in complexity.
Specifically, the number of the identified graphic codes with the same size may be counted based on the size of the graphic code in the identification result, the number of the graphic codes with different sizes is multiplied by a corresponding preset weight value and added to obtain the definition of the video to be detected, and at this time, the definition may be determined as the transmission quality of the application program, and it is noted that the preset weight value is inversely related to the size of the graphic code, that is, the smaller the weight value of the graphic code with the larger size is, the larger the weight value of the graphic code with the smaller size is. In addition, the transmission quality of the application program may also be determined based on the obtained sharpness and other factors (such as video playing continuity), which are not limited in this disclosure.
Fig. 3 is a flowchart two of a method for determining transmission quality of an application program according to an exemplary embodiment, and as shown in fig. 3, the method for determining transmission quality of an application program includes the following steps:
in step S301, an original video is acquired. The original video is a lossless video, and the original video may be a recorded real person video simulating a desired scene, or may be a real person video in a previous actual scene, which is not limited in this disclosure. In this step, when the transmitting end transmits the video to be detected, the video to be detected is encoded and compressed, and then transmitted to the receiving end through the application program to be detected.
In step S302, each image frame of the original video is combined with a first predetermined number of graphics codes to obtain a video to be detected. The graphic code may be pre-manufactured based on a time stamp or a random number, and may include, but is not limited to, a graphic code or a bar code.
According to an exemplary embodiment of the present disclosure, combining each image frame of an original video with a first predetermined number of graphics codes to obtain a video to be detected may include: and combining the first preset number of graphic codes with each image frame of the original video in a picture-in-picture mode to obtain the video to be detected. By the embodiment, the graphic code and the original video can be conveniently and rapidly combined.
According to an exemplary embodiment of the present disclosure, combining each image frame of an original video with a first predetermined number of graphics codes to obtain a video to be detected includes: acquiring a second preset number of graphic code sets, wherein each graphic code set comprises a first preset number of graphic codes with the same size, and each graphic code set comprises graphic codes with different sizes; combining each image frame of the original video with each graphic code set to obtain a second preset number of sub-videos; and taking the second preset number of sub videos as videos to be detected. According to the embodiment, the definition of the video transmitted by the application program to be detected is determined by transmitting a plurality of videos, so that the accuracy of detection can be improved.
Specifically, the second predetermined number of graphic code sets may be obtained by cutting a first predetermined number of graphic codes, which are previously manufactured based on a time stamp or a random number, and cutting the first predetermined number of graphic codes with the same size each time so as to obtain another graphic code set, where the size of the other graphic code set is the same, and the first predetermined number of graphic codes may be cut multiple times, so that a plurality of graphic code sets may be obtained, and the sizes of the graphic codes included in each graphic code set are different from each other, for example, 100 graphic codes are manufactured first, and then cutting is performed five times respectively, so as to obtain four groups of cut graphic code sets including an original size, and four groups of cut graphic code sets including sizes of 80%,60%,40% and 20% of the original size.
According to an exemplary embodiment of the present disclosure, the first predetermined number of graphic codes is graphic codes subjected to blurring processing. By the method and the device, the characteristic of easy identification of the two-dimensional code can be avoided, namely the fact that the identification result of the video to be detected transmitted by each application program to be detected is identical is prevented, and therefore detection accuracy can be improved. The blurring process may be gaussian blurring process or other blurring process, which is not limited in this disclosure.
In step S303, the video to be detected is transmitted to the receiving end through the application to be detected, so that the receiving end determines the definition of the video to be detected transmitted through the application to be detected based on the recognition result of the graphic code in the video to be detected.
In order to facilitate understanding of the above embodiments, the following describes detecting the transmission quality of an application program used in a real-time audio/video call by taking a two-dimensional code as an example.
1. Making video source materials (namely the video to be detected):
a) Recording a real video (namely the original video) of an analog video conference scene;
b) Manufacturing two-dimensional code materials, namely manufacturing 100 two-dimensional codes by using a time stamp or a random number;
c) Cutting all the two-dimensional codes for 5 times to obtain 5 parts of two-dimensional code sets with different sizes, wherein the sizes of the two-dimensional code sets can be 80%,60%,40% and 20% of the original sizes;
d) Carrying out Gaussian blur processing to a certain degree on all the two-dimensional codes;
e) And each two-dimensional code set is respectively clipped together with the real video in a picture-in-picture mode to manufacture 5 videos.
2. The sending end starts the real-time audio-video call, and the sending end plays the 5 video loops as the input source of the used application program, namely, sends 5 videos to the receiving end through the used application program.
3. After receiving the 5 videos, the receiving end can grasp YUV information, render played RGB information or record a screen to identify two-dimensional codes in the videos, and calculate the score of the definition according to the size and the number of the two-dimensional codes which can be identified, so that the transmission quality of the corresponding application program is determined.
In summary, the above embodiments of the present disclosure improve the efficiency and accuracy of sharpness evaluation, without subjective evaluation, one sharpness of the sharpness index can be quantified, and the two-dimensional code recognition result is only recognized or not recognized, there is no intermediate state, and the number of recognizable states can be counted correctly, so that the sharpness of the video after transmission is evaluated accurately, and furthermore, the two-dimensional code recognition has no requirement on the minimum number of pixels of the image, so that the method is also applicable to low-resolution scenes occurring in real-time audio/video calls.
Fig. 4 is a block diagram one of an apparatus for determining transmission quality of an application according to an exemplary embodiment. Referring to fig. 4, the apparatus includes a video receiving unit 60, an identifying unit 62, and a sharpness determining unit 64.
The video receiving unit 60 is configured to receive a video to be detected transmitted by the transmitting end through an application program to be detected, where the video to be detected is obtained by combining each image frame of an original video with a first predetermined number of graphics codes; an identifying unit 62 configured to identify a graphic code in the video to be detected; the sharpness determining unit 64 is configured to determine sharpness of the video to be detected, which is transmitted through the application to be detected, based on the recognition result.
Optionally, the video to be detected is obtained by combining a first predetermined number of graphic codes in the form of a picture-in-picture with each image frame of the original video.
Optionally, the video to be detected includes a second predetermined number of sub-videos, where each image frame of the original video is combined with each of the second predetermined number of graphic code sets, where each graphic code set includes a first predetermined number of graphic codes with the same size, and each graphic code set includes graphic codes with different sizes.
Optionally, the identifying unit 62 is further configured to identify the graphic code in the video to be detected by at least one of: acquiring YUV information of a video to be detected; acquiring RGB information of the video to be detected after rendering and playing; and recording and playing the screen of the terminal for detecting the video.
Optionally, the sharpness determination unit 64 is further configured to determine sharpness of the video to be detected, which is transmitted by the application to be detected, based on the number and the size of the identified graphic codes.
Optionally, the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
Optionally, the graphic code comprises a graphic code or a bar code.
Fig. 5 is a block diagram two of an apparatus for determining transmission quality of an application according to an exemplary embodiment. Referring to fig. 5, the apparatus includes a video acquisition unit 70, a combining unit 72, and a video transmission unit 74.
A video acquisition unit 70 configured to acquire an original video; a merging unit 72, configured to merge each image frame of the original video with a first predetermined number of graphics codes to obtain a video to be detected; the video transmitting unit 74 is configured to transmit the video to be detected to the receiving end through the application to be detected, so that the receiving end determines the definition of the video to be detected transmitted through the application to be detected based on the recognition result of the graphic code in the video to be detected.
Optionally, the merging unit 72 is further configured to merge the first predetermined number of graphic codes with each image frame of the original video in a picture-in-picture manner, so as to obtain a video to be detected.
Optionally, the merging unit 72 is further configured to obtain a second predetermined number of graphic code sets, where each graphic code set contains a first predetermined number of graphic codes with the same size, and each graphic code set contains graphic codes with different sizes from each other; combining each image frame of the original video with each graphic code set to obtain a second preset number of sub-videos; and taking the second preset number of sub videos as videos to be detected.
Optionally, the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
Optionally, the graphic code comprises a graphic code or a bar code.
According to embodiments of the present disclosure, an electronic device may be provided. Fig. 6 is a block diagram of an electronic device 800 including at least one memory 801 having a set of computer-executable instructions stored therein and at least one processor 802 that, when executed by the at least one processor, performs a method of determining application transmission quality in accordance with an embodiment of the present disclosure.
By way of example, electronic device 800 may be a PC computer, tablet device, personal digital assistant, smart phone, or other device capable of executing the above-described set of instructions. Here, the electronic device 1000 is not necessarily a single electronic device, but may be any apparatus or a collection of circuits capable of executing the above-described instructions (or instruction sets) individually or in combination. The electronic device 800 may also be part of an integrated control system or system manager, or may be configured as a portable electronic device that interfaces with either locally or remotely (e.g., via wireless transmission).
In electronic device 800, processor 802 may include a Central Processing Unit (CPU), a Graphics Processor (GPU), a programmable logic device, a special purpose processor system, a microcontroller, or a microprocessor. By way of example, and not limitation, the processor 802 may also include an analog processor, a digital processor, a microprocessor, a multi-core processor, a processor array, a network processor, and the like.
The processor 802 may execute instructions or code stored in the memory, wherein the memory 801 may also store data. The instructions and data may also be transmitted and received over a network via a network interface device, which may employ any known transmission protocol.
The memory 801 may be integrated with the processor 802, for example, RAM or flash memory disposed within an integrated circuit microprocessor or the like. In addition, the memory 802 may include a stand-alone device, such as an external disk drive, a storage array, or other storage device usable by any database system. The memory 801 and the processor 802 may be operatively coupled or may communicate with each other, for example, through an I/O port, network connection, etc., such that the processor 802 is able to read files stored in the memory 801.
In addition, the electronic device 800 may also include a video display (such as a liquid crystal display) and a user interaction interface (such as a keyboard, mouse, touch input device, etc.). All components of the electronic device may be connected to each other via a bus and/or a network.
According to an embodiment of the present disclosure, there may also be provided a computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by at least one processor, cause the at least one processor to perform the method of determining transmission quality of an application program of an embodiment of the present disclosure. Examples of the computer readable storage medium herein include: read-only memory (ROM), random-access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random-access memory (RAM), dynamic random-access memory (DRAM), static random-access memory (SRAM), flash memory, nonvolatile memory, CD-ROM, CD-R, CD + R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD + R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, blu-ray or optical disk storage, hard Disk Drives (HDD), solid State Disks (SSD), card memory (such as multimedia cards, secure Digital (SD) cards or ultra-fast digital (XD) cards), magnetic tape, floppy disks, magneto-optical data storage, hard disks, solid state disks, and any other means configured to store computer programs and any associated data, data files and data structures in a non-transitory manner and to provide the computer programs and any associated data, data files and data structures to a processor or computer to enable the processor or computer to execute the programs. The computer programs in the computer readable storage media described above can be run in an environment deployed in a computer device, such as a client, host, proxy device, server, etc., and further, in one example, the computer programs and any associated data, data files, and data structures are distributed across networked computer systems such that the computer programs and any associated data, data files, and data structures are stored, accessed, and executed in a distributed fashion by one or more processors or computers.
According to an embodiment of the present disclosure, there is provided a computer program product comprising computer instructions which, when executed by a processor, implement a method of determining transmission quality of an application program of an embodiment of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (23)

1. A method for determining transmission quality of an application program, comprising:
receiving a video to be detected transmitted by a transmitting end through an application program to be detected, wherein the video to be detected is obtained by combining each image frame of an original video with a first preset number of graphic codes;
identifying graphic codes in the video to be detected;
determining the definition of the video to be detected, which is transmitted by the application program to be detected, based on the identification result;
the video to be detected comprises a second preset number of sub-videos, wherein each image frame of the original video is combined with each graphic code set in the second preset number of graphic code sets, each graphic code set comprises the first preset number of graphic codes with the same size, and each graphic code set comprises graphic codes with different sizes.
2. The method according to claim 1, wherein the video to be detected is obtained by combining the first predetermined number of graphics codes with each image frame of the original video in a picture-in-picture manner.
3. The method for determining transmission quality of an application program according to claim 1, wherein the graphic code in the video to be detected is identified by at least one of:
acquiring YUV information of the video to be detected;
acquiring RGB information of the video to be detected after rendering and playing;
and recording and playing the screen of the terminal for detecting the video.
4. The method for determining transmission quality of an application program according to claim 1, wherein the determining sharpness of the video to be detected transmitted through the application program to be detected based on the recognition result comprises:
and determining the definition of the video to be detected, which is transmitted by the application program to be detected, based on the number and the size of the identified graphic codes.
5. The method for determining transmission quality of an application program according to claim 1, wherein the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
6. The method for determining transmission quality of an application program according to any one of claims 1 to 5, wherein the graphic code comprises a graphic code or a bar code.
7. A method for determining transmission quality of an application program, comprising:
acquiring an original video;
combining each image frame of the original video with a first preset number of graphic codes to obtain a video to be detected;
transmitting the video to be detected to a receiving end through an application program to be detected, so that the receiving end determines the definition of the video to be detected, which is transmitted through the application program to be detected, based on the identification result of the graphic code in the video to be detected;
combining each image frame of the original video with a first preset number of graphic codes to obtain a video to be detected, wherein the method comprises the following steps:
acquiring a second preset number of graphic code sets, wherein each graphic code set comprises the first preset number of graphic codes with the same size, and each graphic code set comprises graphic codes with different sizes;
combining each image frame of the original video with each graphic code set to obtain a second preset number of sub-videos;
and taking the second preset number of sub-videos as the videos to be detected.
8. The method for determining transmission quality of an application program according to claim 7, wherein said combining each image frame of said original video with a first predetermined number of graphics codes to obtain a video to be detected comprises:
and combining the first preset number of graphic codes with each image frame of the original video in a picture-in-picture mode to obtain the video to be detected.
9. The method for determining transmission quality of an application program according to claim 7, wherein the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
10. A method of determining the transmission quality of an application according to any one of claims 7 to 9, wherein the graphic code comprises a graphic code or a bar code.
11. An apparatus for determining transmission quality of an application program, comprising:
the video receiving unit is configured to receive a video to be detected transmitted by a transmitting end through an application program to be detected, wherein the video to be detected is obtained by combining each image frame of an original video with a first preset number of graphic codes;
an identification unit configured to identify a graphic code in the video to be detected;
a definition determining unit configured to determine the definition of the video to be detected transmitted through the application program to be detected based on the identification result;
the video to be detected comprises a second preset number of sub-videos, wherein each image frame of the original video is combined with each graphic code set in the second preset number of graphic code sets, each graphic code set comprises the first preset number of graphic codes with the same size, and each graphic code set comprises graphic codes with different sizes.
12. The apparatus according to claim 11, wherein the video to be detected is obtained by combining the first predetermined number of graphics codes in a picture-in-picture manner with each image frame of the original video.
13. The apparatus for determining transmission quality of an application program according to claim 11, wherein the identifying unit is further configured to identify the graphic code in the video to be detected by at least one of: acquiring YUV information of the video to be detected; acquiring RGB information of the video to be detected after rendering and playing; and recording and playing the screen of the terminal for detecting the video.
14. The apparatus according to claim 11, wherein the sharpness determination unit is further configured to determine sharpness of the video to be detected transmitted through the application to be detected based on the number and size of the recognized graphic codes.
15. The apparatus for determining transmission quality of an application program according to claim 11, wherein the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
16. An apparatus for determining transmission quality of an application program according to any one of claims 11 to 15, wherein the graphic code comprises a graphic code or a bar code.
17. An apparatus for determining transmission quality of an application program, comprising:
a video acquisition unit configured to acquire an original video;
the merging unit is configured to merge each image frame of the original video with a first preset number of graphic codes to obtain a video to be detected;
the video sending unit is configured to transmit the video to be detected to a receiving end through an application program to be detected, so that the receiving end determines the definition of the video to be detected, which is transmitted through the application program to be detected, based on the identification result of the graphic code in the video to be detected;
the merging unit is further configured to obtain a second preset number of graphic code sets, wherein each graphic code set contains the first preset number of graphic codes with the same size, and each graphic code set contains graphic codes with different sizes; combining each image frame of the original video with each graphic code set to obtain a second preset number of sub-videos; and taking the second preset number of sub-videos as the videos to be detected.
18. The apparatus according to claim 17, wherein the merging unit is further configured to merge the first predetermined number of graphics codes with each image frame of the original video in a picture-in-picture manner to obtain the video to be detected.
19. The apparatus for determining transmission quality of an application program according to claim 17, wherein the first predetermined number of graphic codes is graphic codes subjected to blurring processing.
20. An application transmission quality determining apparatus according to any one of claims 17 to 19, wherein the graphic code comprises a graphic code or a bar code.
21. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of determining transmission quality of an application as claimed in any one of claims 1 to 10.
22. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by at least one processor, cause the at least one processor to perform the method of determining application transmission quality of any one of claims 1 to 10.
23. A computer program product comprising computer instructions which, when executed by a processor, implement a method of determining transmission quality of an application program as claimed in any one of claims 1 to 10.
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