CN114003160A - Data visualization display method and device, computer equipment and storage medium - Google Patents
Data visualization display method and device, computer equipment and storage medium Download PDFInfo
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- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
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Abstract
The application relates to a data visualization display method and device, computer equipment and a storage medium. The method comprises the following steps: responding to the video display operation of a user and displaying the video data to be processed; responding to the video frame selection operation of a user, determining a target video frame in the video data to be processed, and displaying the target video frame; responding to the user data analysis selection operation, and determining a target data analysis identifier corresponding to a target video frame; acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier; and drawing and rendering the target data analysis result to a target video frame. By adopting the method, the redundancy and the information ambiguity of data visualization can be reduced.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a data visualization display method and apparatus, a computer device, and a storage medium.
Background
With the popularization of video shooting and playing devices, video data is becoming an important carrier for transferring information. Video data is data containing both spatial attributes (the position structure of an object in an image) and temporal attributes (a sequence of image frames), and the analysis needs to consider the relationship and variation of variables in the spatial dimension and the temporal dimension.
In the conventional technology, for analysis results such as charts corresponding to video data and spatial structure data such as detection frames, a corresponding layer is obtained by rendering first, and then the layer is displayed on the video data for visual display.
However, in the conventional method, since layers are directly displayed on the video data, redundancy and information blurring of data visualization are caused.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a data visualization displaying method, apparatus, computer device and storage medium capable of reducing redundancy and information ambiguity of data visualization.
A data visualization display method comprises the following steps:
responding to the video display operation of a user and displaying the video data to be processed;
responding to the video frame selection operation of a user, determining a target video frame in the video data to be processed, and displaying the target video frame;
responding to the user data analysis selection operation, and determining a target data analysis identifier corresponding to a target video frame;
acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier;
and drawing and rendering the target data analysis result to a target video frame.
In one embodiment, the data visualization presentation method further comprises:
acquiring video data to be processed;
performing frame extraction processing on video data to be processed to obtain a video frame set corresponding to the video data to be processed;
respectively carrying out information analysis on the video frames in the video frame set to obtain data analysis results corresponding to the video frames;
acquiring video frame identifications of video frames, classifying the same data analysis result, generating corresponding data analysis identifications, and establishing an association relation between the video frame identifications and the data analysis result according to the data analysis identifications.
In one embodiment, the analyzing information of the video frames in the video frame set respectively to obtain the data analysis result corresponding to the video frames includes:
and respectively carrying out target detection on the video frames in the video frame set to obtain target detection results corresponding to the video frames, wherein the target detection results comprise detection frame information.
In one embodiment, rendering the target data analysis result to the target video frame comprises:
determining the data type of the target data analysis result;
and calling the graph type according to the data type, and drawing and rendering the target data analysis result to the target video frame.
In one embodiment, invoking a graphics type according to a data type, and drawing and rendering the target data analysis result to a target video frame comprises:
when the data type is numerical data, drawing the same data analysis results corresponding to all video frames in the video frame set into a numerical curve;
marking a target data analysis result on the numerical curve;
and rendering the marked numerical curve to the target video frame.
In one embodiment, invoking the graph type according to the data type, and drawing and rendering the target data analysis result to the target video frame comprises:
when the data type is structural data, determining a drawing coordinate according to the analysis result of the target data;
and according to the drawing coordinates, drawing and rendering the target data analysis result to the target video frame.
In one embodiment, the data visualization presentation method further comprises:
and creating a data analysis selection interactive control, wherein the data analysis selection interactive control is used for responding to the data analysis selection operation of the user.
A data visualization presentation device, the device comprising:
the video display module is used for responding to the video display operation of a user and displaying the video data to be processed;
the video frame display module is used for responding to the video frame selection operation of a user, determining a target video frame in the video data to be processed and displaying the target video frame;
the data analysis response module is used for responding to the user data analysis selection operation and determining a target data analysis identifier corresponding to the target video frame;
the data acquisition module is used for acquiring a target data analysis result corresponding to a target video frame according to a video frame identifier of the target video frame and a target data analysis identifier;
and the processing module is used for drawing the target data analysis result and rendering the target data analysis result to a target video frame.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
responding to the video display operation of a user and displaying the video data to be processed;
responding to the video frame selection operation of a user, determining a target video frame in the video data to be processed, and displaying the target video frame;
responding to the user data analysis selection operation, and determining a target data analysis identifier corresponding to a target video frame;
acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier;
and drawing and rendering the target data analysis result to a target video frame.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
responding to the video display operation of a user and displaying the video data to be processed;
responding to the video frame selection operation of a user, determining a target video frame in the video data to be processed, and displaying the target video frame;
responding to the user data analysis selection operation, and determining a target data analysis identifier corresponding to a target video frame;
acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier;
and drawing and rendering the target data analysis result to a target video frame.
The data visualization display method, the data visualization display device, the computer equipment and the storage medium respond to the video display operation of a user, display the data to be processed, respond to the video frame selection operation of the user, determine the target video frame in the video data to be processed, display the target video frame, respond to the data analysis selection operation of the user, determine the target data analysis identification corresponding to the target video frame, obtaining a target data analysis result corresponding to the target video frame according to the video frame identification and the target data analysis identification of the target video frame, the target data analysis result is drawn and rendered to the target video frame, the whole process can realize the real-time display control of the data analysis result by responding to the user operation, instead of directly displaying the layer corresponding to the data analysis result to the video data, the data visualization redundancy and the information blurring can be reduced.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating a data visualization display method according to an embodiment;
FIG. 2 is a diagram illustrating a response to a user action in one embodiment;
FIG. 3 is a schematic flow chart illustrating rendering of a target video frame to a target data analysis result according to an embodiment;
FIG. 4 is a flowchart illustrating rendering of a marked numerical curve to a target video frame according to one embodiment;
FIG. 5 is a flowchart illustrating a data visualization displaying method according to another embodiment;
FIG. 6 is a block diagram of a data visualization display apparatus according to an embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In an embodiment, as shown in fig. 1, a data visualization presentation method is provided, and this embodiment is illustrated by applying the method to a terminal, it is to be understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and is implemented by interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, portable wearable devices, motion cameras, panoramic cameras, pan-tilt cameras, and the like, and the server can be implemented by an independent server or a server cluster formed by a plurality of servers. In this embodiment, the method includes the steps of:
and 102, responding to the video display operation of the user and displaying the video data to be processed.
The user video display operation is an operation that a user wants to display a video on the terminal. The video data to be processed refers to video data that a user wants to display on the terminal.
Specifically, when data visualization display is needed, a user needs to select video data corresponding to the data visualization display first, the user can perform video display operation through interaction with the terminal, namely, the video data to be displayed is selected, the terminal can respond to the video display operation of the user, and the video data to be processed is acquired and displayed according to the video display operation of the user. For example, a video list is displayed on a display interface of the terminal, and a user can select video data to be displayed on the terminal according to the video list.
And 104, responding to the video frame selection operation of the user, determining a target video frame in the video data to be processed, and displaying the target video frame.
The user video frame selection operation refers to an operation that a user wants to display any video frame in the video data to be processed on the terminal. The target video frame refers to a video frame that the user wants to display on the terminal.
Specifically, after the terminal displays the video data to be processed, the user may further interact with the terminal to perform a video frame selection operation, that is, select video frame data to be displayed, the terminal may respond to the user video frame selection operation, determine a target video frame in the video data to be processed according to the user video frame selection operation, and display the target video frame. For example, when the terminal displays the video data to be processed, the video progress bar corresponding to the video data to be processed may be synchronously displayed, and the user may perform the video frame selection operation by dragging the video progress bar, clicking any position on the video progress bar, and the like.
And 106, responding to the user data analysis selection operation, and determining a target data analysis identifier corresponding to the target video frame.
The user data analysis selection operation is an operation that a user wants to display an arbitrary data analysis result on the terminal. The target data analysis identification refers to a data analysis identification corresponding to a data analysis result which a user wants to display on the terminal, the data analysis identification is used for distinguishing the data analysis result, and the data analysis identifications corresponding to different data analysis results are different. For example, the target data analysis identifier may specifically refer to a character string corresponding to a data analysis result that a user wants to display on the terminal.
Specifically, after the terminal displays the target video frame, the user may further interact with the terminal to perform a data analysis selection operation, that is, select a target data analysis identifier corresponding to the data analysis result to be displayed, and the terminal may respond to the user data analysis selection operation to determine the target data analysis identifier corresponding to the target video frame according to the user data analysis selection operation. For example, when the terminal displays the target video frame, the data analysis selection interactive control is synchronously displayed, and the user selects the data analysis selection interactive control by selecting the data analysis, so that the data analysis selection operation can be completed.
For example, as shown in fig. 2, a terminal may display video data to be processed by responding to a video display operation of a user, while displaying the video data to be processed, the terminal may synchronously display a video progress bar corresponding to the video data to be processed, a user may perform a video frame selection operation by dragging the video progress bar, clicking an arbitrary position on the video progress bar, and the like, and the terminal may respond to the video frame selection operation of the user, display a target video frame, while displaying the target video frame, the terminal may synchronously display a data analysis selection interaction control, and the user may perform a data analysis selection operation by selecting the data analysis selection interaction control, so as to determine a data analysis result that needs to be displayed on the terminal.
Further, when a user needs to check other video frames in the video data to be processed and corresponding data analysis results, the target video frame can be reselected by dragging the video progress bar, clicking any position on the video progress bar and the like, and the selection of the data analysis selection interactive control is changed to perform data analysis selection operation. It should be noted that, after the user reselects the target video frame, the user may not select the data analysis selection interaction control any more, and the data analysis result displayed at this time corresponds to the data analysis result displayed on the previous target video frame and belongs to the same data analysis result.
And 108, acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier.
Wherein the video frame identification is used for distinguishing the video frames. For example, the video frame identifier may specifically refer to a sequence number of a video frame. For another example, the video frame identifier may specifically refer to a timestamp corresponding to the video frame. The target data analysis result refers to a data analysis result that a user wants to display on the terminal, and the data analysis result refers to analysis information that is extracted by analyzing spatial information and temporal information in a video frame by using an appropriate statistical analysis method and is useful for a data analyzer or the user and that can form a conclusion, and is generally represented in the form of a numerical value or a character. For example, the data analysis result may specifically refer to global image information such as a luminance value of a video frame. For another example, the data analysis result may specifically refer to a target detection result of an object in a video frame detected by using a target detection method, where the target detection result includes detection frame information. For another example, the data analysis result may specifically refer to the human action category information in the video frame.
Specifically, the terminal obtains a video frame identifier of a video frame in advance, classifies the same data analysis result, generates a corresponding data analysis identifier, establishes an association relationship between the video frame identifier and the data analysis result according to the data analysis identifier, and after determining the target video frame identifier and the target data analysis identifier, the terminal queries the established association relationship according to the video frame identifier of the target video frame and the target data analysis identifier, and obtains a target data analysis result corresponding to the target video frame.
And step 110, drawing and rendering the target data analysis result to a target video frame.
Specifically, when information analysis is performed on a video frame in the video data to be processed in advance, the terminal may designate a data type of the data analysis result, and store the data type and the data analysis result together. Therefore, after the target data analysis result is obtained, the terminal can synchronously obtain the data type of the target data analysis result, and then the corresponding graphic type can be called according to the data type so as to draw and render the target data analysis result to the target video frame. The data types include numerical data, text data, structural data, and the like.
According to the data visualization display method, the data to be processed is displayed by responding to the video display operation of a user, the video frame selection operation of the user is responded, the target video frame in the video data to be processed is determined, the target video frame is displayed, the data analysis selection operation of the user is responded, the target data analysis identification corresponding to the target video frame is determined, the target data analysis result corresponding to the target video frame is obtained according to the video frame identification of the target video frame and the target data analysis identification, the target data analysis result is drawn and rendered to the target video frame, and in the whole process, the real-time display control of the data analysis result can be realized by responding to the user operation instead of directly displaying the image layer corresponding to the data analysis result to the video data, so that the data visualization redundancy and the information blurring can be reduced.
In one embodiment, the data visualization presentation method further comprises:
acquiring video data to be processed;
performing frame extraction processing on video data to be processed to obtain a video frame set corresponding to the video data to be processed;
respectively carrying out information analysis on the video frames in the video frame set to obtain data analysis results corresponding to the video frames;
acquiring video frame identifications of video frames, classifying the same data analysis result, generating corresponding data analysis identifications, and establishing an association relation between the video frame identifications and the data analysis result according to the data analysis identifications.
The video data to be processed refers to video data shot by shooting equipment capable of acquiring digital videos, and the shooting equipment includes but is not limited to a single lens reflex camera, a non-lens reflex camera, a mobile phone with shooting and shooting functions, a motion camera, a panoramic camera, a pan-tilt camera, an unmanned aerial vehicle and the like.
Specifically, when video data needs to be analyzed, a terminal acquires video data to be processed, frame extraction processing is performed on the video data to be processed to obtain a video frame set corresponding to the video data to be processed, information analysis is performed on video frames in the video frame set respectively by using an image analysis and video analysis method based on digital image processing to obtain data analysis results corresponding to the video frames, video frame identifiers of the video frames are acquired, the same data analysis result is classified to generate corresponding data analysis identifiers, and an association relationship between the video frame identifiers and the data analysis results is established according to the data analysis identifiers. The frame extraction method for the video data to be processed may be uniform frame extraction, or may set a frame extraction method according to needs, which is not specifically limited in this embodiment.
The method comprises the steps of respectively analyzing video frames in a video frame set by using an image analysis and video analysis method based on digital image processing, wherein the information analysis is mainly used for obtaining global or local information of the video frames. For example, performing information analysis may specifically refer to determining global image information such as a brightness value of a video frame. For another example, the performing information analysis may specifically be obtaining detection frame information of an object of the video frame by using a target detection method. Further, for example, the performing of the information analysis may specifically refer to determining a human motion type in the video frame. In this embodiment, the data analysis result is expressed in the form of a numerical value or a character. For example, the brightness value may be directly expressed by a numerical value, the detection frame information may be expressed by a numerical coordinate, and the character motion type may be expressed by a character.
The method comprises the steps of establishing an incidence relation between a video frame identifier and a data analysis result, namely, after classifying the same data analysis result, generating a corresponding data analysis identifier, adding a time attribute synchronous with a video frame to the data analysis result, and storing the data analysis result added with the time attribute synchronous with the video frame according to the data analysis identifier so as to facilitate the dynamic synchronous display of the video frame and the data analysis result. The video frame identifier herein may specifically refer to a sequence number of a video frame or a corresponding timestamp. It should be noted that, when analyzing the video data to be processed, the number of video frames to be analyzed and the type of information to be analyzed may be set by themselves as needed, and if the information analysis is performed on all the video frames in the video frame set, the association relationship between all the video frame identifiers and the data analysis result may be directly established. If not, i.e. only a part of the video frames in the video frame set are subjected to information analysis, after the information analysis of the video frames in the entire video data to be processed is completed, when the association relationship is established, the data analysis results need to be supplemented or interpolated, so that the number of the data analysis results is consistent with the number of the video frame identifiers, i.e. for the video frames in the video frame set which are not subjected to information analysis, the association relationship between the video frame identifiers corresponding to the video frames and the data analysis results also needs to be established.
The data analysis result may be supplemented or interpolated when the correlation is established or when the data analysis result is displayed. When the data analysis result is displayed, if the corresponding data analysis result is not obtained in the association relationship according to the video frame identifier corresponding to the video frame, performing supplementation or interpolation according to the existing data analysis result in the association relationship to obtain the data analysis result of the video frame.
The association relationship refers to a corresponding relationship between the video frame identifier and the data analysis result represented by the structured sequence data, and the structured sequence data includes, but is not limited to, a table, csv (Comma-Separated Values), json (JS Object Notation) data, and the like. The specific format is arranged according to video frames or time sequence, and includes data of data analysis result corresponding to each frame or time, taking csv data as an example, the association relationship can be specifically expressed as: frame _ id, value (frame number, value): 0, 1.000; 1, 1.000; 2, 1.234.
In this embodiment, the data analysis result can be acquired and the video frame identifier and the data analysis result can be associated, so that the aligned and accurate display can be realized when the data analysis result needs to be displayed on the video frame.
In one embodiment, the analyzing information of the video frames in the video frame set respectively to obtain the data analysis result corresponding to the video frames includes:
and respectively carrying out target detection on the video frames in the video frame set to obtain target detection results corresponding to the video frames, wherein the target detection results comprise detection frame information.
The detection frame information refers to coordinate information of an object detected in the video frame. Taking the detection frame information in csv format as an example, frame _ id is a frame number, bbox _ id is a frame detection frame number, x1 and y1 are coordinates of an image at the upper left corner of the detection frame, and x2 and y2 are coordinates of an image at the lower right corner of the detection frame. The detection box information may be specifically expressed as: frame _ id, bbox _ id, x1, y1, x2, y 2: 0, 0, 20, 20, 40, 30; 0, 1, 15, 15, 25, 35; 1, 2, 30, 30, 45, 50.
Specifically, the terminal obtains a pre-trained target detection model, and performs target detection on the video frames in the video frame set by using the pre-trained target detection model to obtain a target detection result corresponding to the video frames, wherein the target detection result includes detection frame information. The method comprises the steps that a pre-trained target detection model is obtained through sample image data carrying a target frame in a training mode, when the target detection model is trained in advance, a terminal obtains an initial target detection model, then the sample image data are input into the initial target detection model, a prediction detection frame corresponding to the sample image data is output by using the initial target detection model, a loss function corresponding to the initial target detection model is obtained by comparing the prediction detection frame with the target frame, model parameters of the initial target detection model are adjusted, the initial target detection model after the model parameters are adjusted is used for carrying out target detection on the sample image data again to obtain the corresponding loss function, and the pre-trained target detection model is obtained until the loss function is converged.
In this embodiment, target detection results corresponding to the video frames can be obtained by performing target detection on the video frames in the video frame set, where the target detection results include detection frame information, so as to implement information analysis on the video frames. For example, the information analysis on the video frame may specifically refer to determining, according to the target detection result, a target object included in the video frame, and a type and a location of the target object, so that the corresponding target detection result may be displayed when the video frame is displayed.
In one embodiment, rendering the target data analysis result to the target video frame comprises:
determining the data type of the target data analysis result;
and calling the graph type according to the data type, and drawing and rendering the target data analysis result to the target video frame.
Specifically, when information analysis is performed on a video frame in the video data to be processed in advance, the terminal may designate a data type of the data analysis result, and store the data type and the data analysis result together. Therefore, after the target data analysis result is obtained, the terminal can synchronously obtain the data type of the target data analysis result, and then the corresponding graphic type can be called according to the data type so as to draw and render the target data analysis result to the target video frame. The data types include numerical data, text data, structural data, and the like. Further, different target data analysis results can be identified by using different graphic colors and fonts when drawing and rendering are performed.
Specifically, the terminal may use a programmable GUI (Graphical User Interface) library to draw and render the target data analysis result to the target video frame, where the programmable GUI library refers to a GUI code library that controls the computer to display and operate in a Graphical manner through program instructions, and is capable of drawing the target data analysis result into a specific shape, a diagram, or a character according to a data type and rendering the target data analysis result on the target video frame. For example, a schematic flowchart of drawing and rendering the target data analysis result to the target video frame may be as shown in fig. 3. The program in the terminal reads the analysis result data (namely, the target data analysis result), calls a chart or a graph type corresponding to a GUI library (namely, a programmable GUI library) according to the data type specified in the analysis result file, so that the GUI library calls a system graphical interface, draws and renders the analysis result chart, the graph and the target video frame, and displays the rendering result on the system graphical interface of the terminal.
In this embodiment, the data type of the target data analysis result is determined, and the graphic type is called according to the data type, so that the target data analysis result can be drawn and rendered to the target video frame.
In one embodiment, invoking a graphics type according to a data type, and drawing and rendering the target data analysis result to a target video frame comprises:
when the data type is numerical data, drawing the same data analysis results corresponding to all video frames in the video frame set into a numerical curve;
marking a target data analysis result on the numerical curve;
and rendering the marked numerical curve to the target video frame.
Specifically, when the data type is numerical data, the terminal draws the same data analysis results corresponding to all video frames in the video frame set into a numerical curve, marks the target data analysis results on the numerical curve, and renders the marked numerical curve to the target video frame. For example, when the data analysis result is a brightness value of a video frame, the data type of the data is numerical data, and when the brightness value corresponding to the video frame needs to be displayed on the target video frame, the terminal will draw the brightness values corresponding to all the video frames into a numerical curve, mark the brightness value corresponding to the target video frame on the numerical curve, and render the marked numerical curve to the target video frame.
For example, a flow diagram for rendering the marked numerical curve to the target video frame may be as shown in fig. 4, where for convenience of display, the marked numerical curve and the target video frame are displayed in a layout form instead of a layer overlay form, as can be seen from fig. 4, the numerical curve may be drawn by using the same data analysis results corresponding to all the video frames, and for the left video frame and the right video frame, corresponding target data analysis results are marked on the numerical curve, where the target data analysis result corresponding to the left video frame is 0.9, and the target data analysis result corresponding to the right video frame is 0.2.
In this embodiment, when the data type is numerical data, the same data analysis results corresponding to all video frames in the video frame set are drawn as a numerical curve, the target data analysis result is marked on the numerical curve, and the marked numerical curve is rendered to the target video frame, so that visual display of the numerical data can be realized.
In one embodiment, invoking the graph type according to the data type, and drawing and rendering the target data analysis result to the target video frame comprises:
when the data type is structural data, determining a drawing coordinate according to the analysis result of the target data;
and according to the drawing coordinates, drawing and rendering the target data analysis result to the target video frame.
Specifically, when the data type is structural data, the terminal determines a drawing coordinate according to the target data analysis result, and draws and renders the target data analysis result to the target video frame according to the drawing coordinate. For example, when the data analysis result is detection frame information of a video frame, the data type of the data is structural data, and when the corresponding detection frame information needs to be displayed on the target video frame, the terminal determines drawing coordinates, that is, detection frame coordinates, according to the detection frame information, and then draws and renders the detection frame to the target video frame according to the detection frame coordinates.
In this embodiment, when the data type is structural data, the drawing coordinate is determined according to the target data analysis result, and the target data analysis result is drawn and rendered to the target video frame according to the drawing coordinate, so that visual display of structural data can be realized.
In one embodiment, the data visualization presentation method further comprises:
and creating a data analysis selection interactive control, wherein the data analysis selection interactive control is used for responding to the data analysis selection operation of the user.
Specifically, the terminal can create a data analysis selection interactive control through the programmable GUI library, the data analysis selection interactive control corresponds to the number of data analysis results and is used for responding to a user data analysis selection operation, and a user can control which data analysis results are displayed on a video frame in real time through the data analysis selection interactive control. Furthermore, the terminal can also create a data type selection interactive control to respond to the data type selection operation of a user and control the data analysis results of which data types are displayed on the video frame in real time.
In the embodiment, the data analysis selection interactive control is created, so that the data analysis selection interactive control can be used for responding to the data analysis selection operation of the user, and the data visualization display is controlled in real time.
In an embodiment, as shown in fig. 5, the data visualization display method of the present application is described by a flowchart, and specifically includes the following steps:
518, acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier;
It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in each flowchart related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
In one embodiment, as shown in fig. 6, there is provided a data visualization presentation apparatus, including: a video display module 602, a video frame display module 604, a data analysis response module 606, a data acquisition module 608, and a processing module 610, wherein:
a video display module 602, configured to respond to a user video display operation and display video data to be processed;
a video frame display module 604, configured to determine a target video frame in the to-be-processed video data in response to a user video frame selection operation, and display the target video frame;
a data analysis response module 606, configured to respond to a user data analysis selection operation, and determine a target data analysis identifier corresponding to a target video frame;
a data obtaining module 608, configured to obtain a target data analysis result corresponding to a target video frame according to a video frame identifier of the target video frame and a target data analysis identifier;
and the processing module 610 is configured to draw and render the target data analysis result to the target video frame.
According to the data visualization display device, the data to be processed is displayed by responding to the video display operation of a user, the video frame selection operation of the user is responded, the target video frame in the video data to be processed is determined, the target video frame is displayed, the data analysis selection operation of the user is responded, the target data analysis identification corresponding to the target video frame is determined, the target data analysis result corresponding to the target video frame is obtained according to the video frame identification of the target video frame and the target data analysis identification, the target data analysis result is drawn and rendered to the target video frame, the whole process can realize real-time display control of the data analysis result by responding to the user operation instead of directly displaying the layer corresponding to the data analysis result to the video data, and the data visualization redundancy and information blurring can be reduced.
In one embodiment, the data visualization display device further includes an analysis module, where the analysis module is configured to obtain video data to be processed, perform frame extraction processing on the video data to be processed to obtain a video frame set corresponding to the video data to be processed, perform information analysis on video frames in the video frame set respectively to obtain a data analysis result corresponding to the video frame, obtain a video frame identifier of the video frame, classify the same data analysis result to generate a corresponding data analysis identifier, and establish an association relationship between the video frame identifier and the data analysis result according to the data analysis identifier.
In one embodiment, the analysis module is further configured to perform target detection on the video frames in the video frame set respectively to obtain target detection results corresponding to the video frames, where the target detection results include detection frame information.
In one embodiment, the processing module is further configured to determine a data type of the target data analysis result, call a graphics type according to the data type, and draw and render the target data analysis result to the target video frame.
In one embodiment, the processing module is further configured to, when the data type is numerical data, draw the same data analysis result corresponding to all video frames in the video frame set as a numerical curve, mark the target data analysis result on the numerical curve, and render the marked numerical curve to the target video frame.
In one embodiment, the processing module is further configured to determine a drawing coordinate according to the target data analysis result when the data type is structural data, and draw and render the target data analysis result to the target video frame according to the drawing coordinate.
In one embodiment, the data visualization presentation device further comprises a creation module configured to create a data analysis selection interaction control, and the data analysis selection interaction control is configured to respond to a user data analysis selection operation.
For specific embodiments of the data visualization display device, reference may be made to the above embodiments of the data visualization display method, and details are not described here. The modules in the data visualization display device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a data visualization presentation method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
responding to the video display operation of a user and displaying the video data to be processed;
responding to the video frame selection operation of a user, determining a target video frame in the video data to be processed, and displaying the target video frame;
responding to the user data analysis selection operation, and determining a target data analysis identifier corresponding to a target video frame;
acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier;
and drawing and rendering the target data analysis result to a target video frame.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the steps of obtaining video data to be processed, carrying out frame extraction processing on the video data to be processed to obtain a video frame set corresponding to the video data to be processed, respectively carrying out information analysis on video frames in the video frame set to obtain a data analysis result corresponding to the video frames, obtaining video frame identifications of the video frames, classifying the same data analysis result, generating corresponding data analysis identifications, and establishing an association relation between the video frame identifications and the data analysis result according to the data analysis identifications.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and respectively carrying out target detection on the video frames in the video frame set to obtain target detection results corresponding to the video frames, wherein the target detection results comprise detection frame information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and determining the data type of the target data analysis result, calling the graph type according to the data type, and drawing and rendering the target data analysis result to a target video frame.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the data type is numerical data, drawing the same data analysis results corresponding to all the video frames in the video frame set into a numerical curve, marking the target data analysis results on the numerical curve, and rendering the marked numerical curve to the target video frame.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and when the data type is structural data, determining a drawing coordinate according to the target data analysis result, and drawing and rendering the target data analysis result to a target video frame according to the drawing coordinate.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and creating a data analysis selection interactive control, wherein the data analysis selection interactive control is used for responding to the data analysis selection operation of the user.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
responding to the video display operation of a user and displaying the video data to be processed;
responding to the video frame selection operation of a user, determining a target video frame in the video data to be processed, and displaying the target video frame;
responding to the user data analysis selection operation, and determining a target data analysis identifier corresponding to a target video frame;
acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier;
and drawing and rendering the target data analysis result to a target video frame.
In one embodiment, the computer program when executed by the processor further performs the steps of: the method comprises the steps of obtaining video data to be processed, carrying out frame extraction processing on the video data to be processed to obtain a video frame set corresponding to the video data to be processed, respectively carrying out information analysis on video frames in the video frame set to obtain a data analysis result corresponding to the video frames, obtaining video frame identifications of the video frames, classifying the same data analysis result, generating corresponding data analysis identifications, and establishing an association relation between the video frame identifications and the data analysis result according to the data analysis identifications.
In one embodiment, the computer program when executed by the processor further performs the steps of: and respectively carrying out target detection on the video frames in the video frame set to obtain target detection results corresponding to the video frames, wherein the target detection results comprise detection frame information.
In one embodiment, the computer program when executed by the processor further performs the steps of: and determining the data type of the target data analysis result, calling the graph type according to the data type, and drawing and rendering the target data analysis result to a target video frame.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the data type is numerical data, drawing the same data analysis results corresponding to all the video frames in the video frame set into a numerical curve, marking the target data analysis results on the numerical curve, and rendering the marked numerical curve to the target video frame.
In one embodiment, the computer program when executed by the processor further performs the steps of: and when the data type is structural data, determining a drawing coordinate according to the target data analysis result, and drawing and rendering the target data analysis result to a target video frame according to the drawing coordinate.
In one embodiment, the computer program when executed by the processor further performs the steps of: and creating a data analysis selection interactive control, wherein the data analysis selection interactive control is used for responding to the data analysis selection operation of the user.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A data visualization display method is characterized by comprising the following steps:
responding to the video display operation of a user and displaying the video data to be processed;
responding to the selection operation of a user video frame, determining a target video frame in the video data to be processed, and displaying the target video frame;
responding to user data analysis selection operation, and determining a target data analysis identifier corresponding to the target video frame;
acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier;
and drawing the target data analysis result and rendering the target data analysis result to the target video frame.
2. The method of claim 1, further comprising:
acquiring video data to be processed;
performing frame extraction processing on the video data to be processed to obtain a video frame set corresponding to the video data to be processed;
respectively carrying out information analysis on the video frames in the video frame set to obtain data analysis results corresponding to the video frames;
and acquiring a video frame identifier of the video frame, classifying the same data analysis result, generating a corresponding data analysis identifier, and establishing an association relation between the video frame identifier and the data analysis result according to the data analysis identifier.
3. The method of claim 2, wherein the analyzing information of the video frames in the video frame set respectively to obtain the data analysis result corresponding to the video frames comprises:
and respectively carrying out target detection on the video frames in the video frame set to obtain target detection results corresponding to the video frames, wherein the target detection results comprise detection frame information.
4. The method of claim 1, wherein the rendering the target data analysis result to the target video frame comprises:
determining the data type of the target data analysis result;
and calling a graphic type according to the data type, and drawing and rendering the target data analysis result to the target video frame.
5. The method of claim 4, wherein invoking a graphics type according to the data type, drawing and rendering the target data analysis result to the target video frame comprises:
when the data type is numerical data, drawing the same data analysis results corresponding to all the video frames in the video frame set into a numerical curve;
marking the target data analysis results on the numerical curve;
and rendering the marked numerical curve to the target video frame.
6. The method of claim 4, wherein invoking a graphics type according to the data type, drawing and rendering the target data analysis result to the target video frame comprises:
when the data type is structural data, determining a drawing coordinate according to the target data analysis result;
and according to the drawing coordinates, drawing and rendering the target data analysis result to the target video frame.
7. The method of claim 1, further comprising:
and creating a data analysis selection interactive control, wherein the data analysis selection interactive control is used for responding to the data analysis selection operation of the user.
8. A data visualization display device, the device comprising:
the video display module is used for responding to the video display operation of a user and displaying the video data to be processed;
the video frame display module is used for responding to the video frame selection operation of a user, determining a target video frame in the video data to be processed and displaying the target video frame;
the data analysis response module is used for responding to user data analysis selection operation and determining a target data analysis identifier corresponding to the target video frame;
the data acquisition module is used for acquiring a target data analysis result corresponding to the target video frame according to the video frame identifier of the target video frame and the target data analysis identifier;
and the processing module is used for drawing the target data analysis result and rendering the target data analysis result to the target video frame.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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