CN111654628B - Video shooting method and device and computer readable storage medium - Google Patents
Video shooting method and device and computer readable storage medium Download PDFInfo
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- CN111654628B CN111654628B CN202010522970.3A CN202010522970A CN111654628B CN 111654628 B CN111654628 B CN 111654628B CN 202010522970 A CN202010522970 A CN 202010522970A CN 111654628 B CN111654628 B CN 111654628B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/2621—Cameras specially adapted for the electronic generation of special effects during image pickup, e.g. digital cameras, camcorders, video cameras having integrated special effects capability
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Abstract
The invention discloses a video shooting method, video shooting equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring an image frame, and carrying out image registration on a current image frame and a previous image frame to obtain a transformation matrix; then, calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average; then, covering the motion area on a superposed image corresponding to the exponential average; and finally, drawing and displaying the overlaid image in real time. The humanized video shooting scheme is realized, so that when the video with special motion effect is shot, the shooting waiting time and the image processing resource consumption are reduced, higher operation difficulty and shooting condition constraint are avoided, the shooting efficiency is improved, and the user experience is enhanced.
Description
Technical Field
The present invention relates to the field of mobile communications, and in particular, to a video shooting method, a video shooting device, and a computer-readable storage medium.
Background
In the prior art, with the rapid development of intelligent terminal devices and special-effect shooting schemes thereof, many 'multi-frame special-effect' photos or video shooting schemes related to moving shooting subjects appear on the market. In such a shooting scheme, multiple frames of images are continuously shot, and the multiple images are synthesized into a picture through some algorithms, so that special effects such as optical flow, smear and the like of a moving object are presented on the synthesized picture, and finally, the result is a static picture containing a special motion effect. However, if a video with the same motion effect is to be obtained, a plurality of the synthesized photos need to be continuously shot, and then the synthesized photos are synthesized into the video again, so that the two-step synthesis shooting scheme can consume a long shooting waiting time and image processing resources, and meanwhile, the video shooting scheme also needs to use a tripod to perform auxiliary shooting to achieve a certain shooting effect. Therefore, the motion special effect video shooting scheme in the prior art has the technical defects of long shooting waiting time, high image processing resource consumption, high shooting condition constraint and the like.
Disclosure of Invention
In order to solve the technical defects in the prior art, the invention provides a video shooting method, which comprises the following steps:
acquiring an image frame, and carrying out image registration on a current image frame and a previous image frame to obtain a transformation matrix;
calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average;
covering the motion area on a superposed image corresponding to the exponential average;
and drawing and displaying the overlaid image in real time.
Optionally, the acquiring an image frame, and performing image registration on a current image frame and a previous image frame to obtain a transformation matrix includes:
respectively creating a registration thread and a multi-frame synthesis thread at the starting moment of video shooting;
in the registration thread, acquiring a first frame of image, and adopting an identity matrix as a transformation matrix corresponding to the first frame of image;
in the process of sequentially acquiring the image frames, performing image registration on a current image frame and a previous image frame to obtain a transformation matrix corresponding to the current image frame;
and storing the transformation matrix acquired in real time in a transformation matrix shared buffer queue.
Optionally, the calculating an exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining a motion region of the current image frame relative to the previous image frame according to the exponential average includes:
in the multi-frame synthesis thread, taking the self of the first frame image as the corresponding exponential average of the first frame image;
in the process of sequentially acquiring the image frames, converting the exponential average of the current image frame and the previous image frame according to the change matrix corresponding to the current image frame;
determining a motion region of the current image frame relative to the previous image frame according to the transformation of the exponential averaging.
Optionally, the overlaying the motion region on the superimposed image corresponding to the exponential averaging includes:
determining a preset superposition transparency;
and overlapping the motion area of the current image frame relative to the previous image frame with the current image frame according to the overlapping transparency.
Optionally, the rendering and displaying the overlaid overlay image in real time includes:
drawing a superposed image obtained by superposing the motion area and the current image frame in real time, and obtaining a video shooting preview image at any moment according to the superposed image at the moment;
and generating a motion video by the superposed images corresponding to the first image frame and each image frame after the first image frame.
The invention also proposes a video shooting device comprising a memory, a processor and a computer program stored on said memory and executable on said processor, said computer program realizing, when executed by said processor:
acquiring an image frame, and performing image registration on the current image frame and a previous image frame to obtain a transformation matrix;
calculating an exponential average of the current image frame and a previous image frame according to the current image frame and the transformation matrix, and determining a motion area of the current image frame relative to the previous image frame according to the exponential average;
covering the motion area on a superposed image corresponding to the exponential average;
and drawing and displaying the overlaid superposed image in real time.
Optionally, the computer program when executed by the processor implements:
respectively creating a registration thread and a multi-frame synthesis thread at the starting moment of video shooting;
in the registration thread, acquiring a first frame of image, and adopting an identity matrix as a transformation matrix corresponding to the first frame of image;
in the process of sequentially acquiring the image frames, performing image registration on a current image frame and a previous image frame to obtain a transformation matrix corresponding to the current image frame;
and storing the transformation matrix acquired in real time in a transformation matrix shared buffer queue.
Optionally, the computer program when executed by the processor implements:
in the multi-frame synthesis thread, taking the self of the first frame image as the corresponding exponential average of the first frame image;
in the process of sequentially acquiring the image frames, converting the exponential average of the current image frame and the previous image frame according to the change matrix corresponding to the current image frame;
determining a motion region of the current image frame relative to the previous image frame according to the transformation of the exponential averaging.
Optionally, the computer program when executed by the processor implements:
determining a preset superposition transparency;
overlapping the motion area of the current image frame relative to the previous image frame with the current image frame according to the overlapping transparency;
drawing a superposed image obtained by superposing the motion area and the current image frame in real time, and obtaining a video shooting preview image at any moment according to the superposed image at the moment;
and generating a motion video by the superposed images corresponding to the first image frame and each image frame after the first image frame.
The invention also proposes a computer-readable storage medium having stored thereon a video capture program which, when executed by a processor, implements the steps of the video capture method as defined in any one of the preceding claims.
The video shooting method, the video shooting equipment and the computer readable storage medium are implemented, and a transformation matrix is obtained by acquiring image frames and carrying out image registration on the current image frame and the previous image frame; then, calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average; then, covering the motion area on a superposed image corresponding to the exponential average; and finally, drawing and displaying the overlaid superposed image in real time. The humanized video shooting scheme is realized, so that when the video with special motion effect is shot, the shooting waiting time and the image processing resource consumption are reduced, higher operation difficulty and shooting condition constraint are avoided, the shooting efficiency is improved, and the user experience is enhanced.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a schematic diagram of a hardware structure of a mobile terminal according to the present invention;
fig. 2 is a diagram of a communication network architecture according to an embodiment of the present invention;
FIG. 3 is a flow chart of a first embodiment of a video capture method of the present invention;
FIG. 4 is a flow chart of a second embodiment of a video capture method of the present invention;
FIG. 5 is a flow chart of a third embodiment of a video capture method of the present invention;
FIG. 6 is a flow chart of a fourth embodiment of a video capture method of the present invention;
fig. 7 is a flowchart of a fifth embodiment of a video capture method of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
In the following description, suffixes such as "module", "part", or "unit" used to indicate elements are used only for facilitating the description of the present invention, and have no particular meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.
The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.
The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).
WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and can be omitted entirely as needed within the scope not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, and the Graphics processor 1041 processes image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.
Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.
The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, etc. Further, memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby integrally monitoring the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.
Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module and the like, which will not be described in detail herein.
In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.
Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.
Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.
The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.
The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.
Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.
Based on the hardware structure of the mobile terminal and the communication network system, the embodiments of the method of the invention are provided.
Example one
Fig. 3 is a flowchart of a first embodiment of a video capture method of the present invention. A method of video capture, the method comprising:
s1, acquiring an image frame, and carrying out image registration on the current image frame and the previous image frame to obtain a transformation matrix;
s2, calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average;
s3, covering the motion area on the superposed image corresponding to the exponential average;
and S4, drawing and displaying the overlaid superposed image in real time.
In this embodiment, first, an image frame is obtained, and image registration is performed on a current image frame and a previous image frame to obtain a transformation matrix; then, calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average; then, covering the motion area on a superposed image corresponding to the exponential average; and finally, drawing and displaying the overlaid image in real time.
Optionally, the video shooting of this embodiment is suitable for shooting with a camera of an intelligent terminal device, for example, a front camera or a rear camera of a mobile phone, or shooting with one or more front cameras or rear cameras of a mobile phone, and the video shooting of this embodiment is also suitable for shooting with an external device connected to an intelligent terminal device, for example, shooting with a camera of an unmanned aerial vehicle connected to a mobile phone for motion pursuit, shooting with a camera connected to a mobile phone for motion, and the like.
Optionally, in this embodiment, an image frame is obtained, and image registration is performed on a current image frame and a previous image frame to obtain a transformation matrix, where image registration is a process of matching the previous image frame and the next image frame, and thus, transformation matrices corresponding to the previous image frame and the next image frame are obtained;
optionally, in this embodiment, an exponential average of the current image frame and the previous image frame is calculated according to the current image frame and the transformation matrix, and a motion region of the current image frame relative to the previous image frame is determined according to the exponential average, where exponential average refers to calculating a dynamic (or, difference) region of the current image compared to the previous image from the current image frame and the transformation matrix as the motion region of this embodiment.
Optionally, in this embodiment, the motion area is overlaid on the superimposed image corresponding to the exponential average, so that each image frame only including the motion area superimposition is obtained one by one. In the image frame after exponential averaging, the background (i.e., a stationary object) is in a clear state, and the subject (i.e., a moving object) is in a blurred state due to multiple overlapping. It should be noted that after the registered matrix transformation, the stationary object is overlapped between the two images after the registered matrix transformation, so that the transparency superposition does not change, and the moving object leaves the motion trace after the superposition. At this time, the motion area of the current image relative to the previous frame image is covered on the exponential averaging result, and an image frame with clear background and clear subject and ghost shadow on the motion track of the subject is obtained.
Optionally, in this embodiment, the overlaid overlay image is rendered and displayed in real time. That is, at any shooting time, the preview background and the subject are clear, and the video with the ghost on the motion track of the subject is shot to obtain the real-time preview image, and simultaneously, the shooting is stopped or terminated at any shooting time, so that the video with the ghost on the motion track of the subject and the clear background and the clear subject can be obtained.
The method has the advantages that the transformation matrix is obtained by obtaining the image frame and carrying out image registration on the current image frame and the previous image frame; then, calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average; then, covering the motion area on a superposed image corresponding to the exponential average; and finally, drawing and displaying the overlaid superposed image in real time. The humanized video shooting scheme is realized, so that when the video with special motion effect is shot, the shooting waiting time and the image processing resource consumption are reduced, higher operation difficulty and shooting condition constraint are avoided, the shooting efficiency is improved, and the user experience is enhanced.
Example two
Fig. 4 is a flowchart of a second embodiment of a video capturing method according to the present invention, where based on the above embodiments, the acquiring an image frame and performing image registration on a current image frame and a previous image frame to obtain a transformation matrix includes:
s11, respectively creating a registration thread and a multi-frame synthesis thread at the starting moment of video shooting;
s12, acquiring a first frame image in the registration thread, and taking an identity matrix as a transformation matrix corresponding to the first frame image;
s13, in the process of sequentially acquiring the image frames, carrying out image registration on the current image frame and the previous image frame to obtain a transformation matrix corresponding to the current image frame;
and S14, storing the transformation matrix acquired in real time in a transformation matrix shared buffer queue.
In the embodiment, firstly, at the starting time of the video shooting, a registration thread and a multi-frame synthesis thread are respectively created; then, in the registration thread, acquiring a first frame of image, and using an identity matrix as a transformation matrix corresponding to the first frame of image; then, in the process of sequentially acquiring the image frames, carrying out image registration on the current image frame and the previous image frame to obtain a transformation matrix corresponding to the current image frame; and finally, storing the transformation matrix acquired in real time in a transformation matrix shared buffer queue.
Optionally, at the starting time of video shooting, a registration thread and a multi-frame synthetic thread are respectively created, and the registration thread and the multi-frame synthetic thread run cooperatively at the same time, so that the shooting waiting time is reduced, and real-time effect preview in the shooting process can be provided;
optionally, in the shooting process, in the process of sequentially acquiring the image frames, image registration is performed on the current image frame and the previous image frame, and whether a moving subject exists in the video shooting process and an image frame at the motion start moment of the moving subject are determined according to the result of the image registration.
Optionally, starting from the image frame at the motion start time of the motion subject, the transformation matrix obtained in real time is saved in the transformation matrix shared buffer queue.
The method has the advantages that the registration thread and the multi-frame synthesis thread are respectively created at the starting moment of the video shooting; then, in the registration thread, acquiring a first frame of image, and adopting an identity matrix as a transformation matrix corresponding to the first frame of image; then, in the process of sequentially acquiring the image frames, carrying out image registration on the current image frame and the previous image frame to obtain a transformation matrix corresponding to the current image frame; and finally, storing the transformation matrix acquired in real time in a transformation matrix shared buffer queue. The humanized video shooting scheme is realized, so that when the video with special sports effect is shot, the starting moment of video processing is more accurate, unnecessary processing resource effect is avoided, and the video shooting processing efficiency and the video shooting effect are improved.
EXAMPLE III
Fig. 5 is a flowchart of a third embodiment of the video capturing method according to the present invention, wherein based on the above embodiment, the calculating an exponential average of a current image frame and a previous image frame according to the current image frame and the transformation matrix, and determining a motion region of the current image frame relative to the previous image frame according to the exponential average includes:
s21, taking the first frame image itself as the corresponding exponential average of the first frame image in the multi-frame synthesis thread;
s22, in the process of sequentially obtaining the image frames, converting the exponential average of the current image frame and the previous image frame according to the change matrix corresponding to the current image frame;
s23, determining the motion area of the current image frame relative to the previous image frame according to the transformation of the exponential average.
In this embodiment, first, in the multi-frame synthesis thread, the first frame image itself is taken as the exponential average corresponding to the first frame image; then, in the process of sequentially acquiring the image frames, converting the exponential average of the current image frame and the previous image frame according to the change matrix corresponding to the current image frame; finally, a motion region of the current image frame relative to the previous image frame is determined according to the transformation of the exponential averaging.
Optionally, in the multi-frame synthesis thread, taking itself of a first frame image at a motion start time of a moving subject as an exponential average corresponding to the first frame image;
optionally, in the process of sequentially acquiring the image frames, when the motion of the moving subject stops, stopping exponential average conversion, and when the motion of the moving subject starts again, converting the exponential average of the previous image frame according to the change matrix corresponding to the current image frame to obtain the exponential average of the current image frame;
optionally, a motion region of the current image frame relative to the previous image frame is determined according to the transformation of the exponential averaging. The number of the motion areas of the current image frame relative to the previous image frame can be one or more, and if the motion amplitudes of the motion areas are not consistent, the motion special effect degree of each motion area is correspondingly reflected.
The method has the advantages that in the multi-frame synthesis thread, the first frame image itself is taken as the corresponding exponential average of the first frame image; then, in the process of sequentially acquiring the image frames, converting the exponential average of the current image frame and the previous image frame according to the change matrix corresponding to the current image frame; finally, a motion region of the current image frame relative to the previous image frame is determined according to the transformation of the exponential averaging. The humanized video shooting scheme is realized, so that when a video with special sports effect is shot, the video preview image is more accurate, unnecessary processing resource effect is avoided, and the video shooting processing efficiency and the video shooting effect are improved.
Example four
Fig. 6 is a flowchart of a fourth embodiment of the video capturing method according to the present invention, where based on the above embodiment, the overlaying the motion area on the superimposed image corresponding to the exponential average includes:
s31, determining the preset superposition transparency;
and S32, overlapping the motion area of the current image frame relative to the previous image frame with the current image frame according to the overlapping transparency.
In this embodiment, first, a preset superimposition transparency is determined; then, the motion area of the current image frame relative to the previous image frame is overlapped with the current image frame according to the overlapping transparency.
Optionally, determining a preset overlap transparency, for example, setting the overlap transparency to 90%, and then overlapping the motion region of the current image frame relative to the previous image frame with the current image frame according to the overlap transparency;
optionally, determining a preset dynamic superposition transparency, and determining corresponding superposition transparencies according to different motion subjects in a plurality of motion subjects;
optionally, determining a preset dynamic superposition transparency, and determining a corresponding superposition transparency in the plurality of moving bodies according to the motion amplitude difference of the moving bodies;
optionally, a preset dynamic superimposition transparency is determined, and in the same moving subject, a corresponding superimposition transparency is determined according to the difference of the motion amplitudes of the moving subject.
The method has the advantages that the preset superposition transparency is determined; then, the motion area of the current image frame relative to the previous image frame is overlapped with the current image frame according to the overlapping transparency. The humanized video shooting scheme is realized, so that when the video with the special motion effect is shot, the effect of the special motion effect is more exquisite and accurate, the motion effect of the motion video is further increased, the unnecessary processing resource effect is avoided, and the video shooting processing efficiency and the video shooting effect are improved.
EXAMPLE five
Fig. 7 is a flowchart of a fifth embodiment of the video capturing method according to the present invention, and based on the above embodiments, the real-time rendering and displaying of the overlaid image includes:
s41, drawing a superposed image obtained by superposing the motion area and the current image frame in real time, and obtaining a video shooting preview image at any moment according to the superposed image at the moment;
and S42, generating a motion video from the superposed images corresponding to the first image frame and each image frame after the first image frame.
In this embodiment, first, a superimposed image obtained by superimposing the motion region and the current image frame is drawn in real time, and a video shooting preview image at any moment is obtained according to the superimposed image at the moment; then, a motion video is generated by the superposed image corresponding to the first image frame and each image frame after the first image frame.
Optionally, a superimposed image obtained after the motion area and the current image frame are superimposed is drawn in real time, a video shooting preview image at any moment is obtained according to the superimposed image at any moment, and a motion video preview is generated according to all superimposed images before any moment;
optionally, the video preview interface is divided into at least two areas, one area is used for generating a motion video preview according to all superimposed images before any moment, and the other area is used for drawing a superimposed image obtained by superimposing the motion area and the current image frame in real time, and the superimposed image is used as a preview image of video shooting at the moment.
The method has the advantages that the superimposed image obtained by superimposing the motion area and the current image frame is drawn in real time, and the video shooting preview image at any moment is obtained according to the superimposed image at any moment; then, a motion video is generated by the superposed image corresponding to the first image frame and each image frame after the first image frame. The humanized video shooting scheme is realized, so that when the video of the special motion effect is shot, the preview of the special motion effect is more convenient, a user can conveniently adjust the shooting scheme in real time according to the known special motion effect, the shooting effect of the motion video is further increased, unnecessary processing resource effects are avoided, and the video shooting processing efficiency and the video shooting effect are improved.
EXAMPLE six
Based on the foregoing embodiments, the present invention further provides a video shooting device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program, when executed by the processor, implements:
acquiring an image frame, and carrying out image registration on a current image frame and a previous image frame to obtain a transformation matrix;
calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average;
covering the motion area on a superposed image corresponding to the exponential average;
and drawing and displaying the overlaid image in real time.
It should be noted that the device embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are correspondingly applicable in the device embodiment, which is not described herein again.
EXAMPLE seven
Based on the above embodiments, the computer program when executed by the processor implements:
respectively creating a registration thread and a multi-frame synthesis thread at the starting moment of video shooting;
in the registration thread, acquiring a first frame of image, and adopting an identity matrix as a transformation matrix corresponding to the first frame of image;
in the process of sequentially acquiring the image frames, performing image registration on a current image frame and a previous image frame to obtain a transformation matrix corresponding to the current image frame;
and storing the transformation matrix acquired in real time in a transformation matrix shared buffer queue.
It should be noted that the apparatus embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are applicable in the apparatus embodiment, which is not described herein again.
Example eight
Based on the above embodiments, the computer program when executed by the processor implements:
in the multi-frame synthesis thread, taking the self of the first frame image as the corresponding exponential average of the first frame image;
in the process of sequentially acquiring the image frames, converting the exponential average of the current image frame and the previous image frame according to the change matrix corresponding to the current image frame;
determining a motion region of the current image frame relative to the previous image frame according to the transformation of the exponential averaging.
It should be noted that the device embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are correspondingly applicable in the device embodiment, which is not described herein again.
Example nine
Based on the above embodiments, the computer program when executed by the processor implements:
determining a preset superposition transparency;
overlapping the motion area of the current image frame relative to the previous image frame with the current image frame according to the overlapping transparency;
drawing a superposed image obtained by superposing the motion area and the current image frame in real time, and obtaining a video shooting preview image at any moment according to the superposed image at the moment;
and generating a motion video by the superposed images corresponding to the first image frame and each image frame after the first image frame.
It should be noted that the device embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are correspondingly applicable in the device embodiment, which is not described herein again.
Example ten
Based on the above embodiment, the present invention also provides a computer readable storage medium, having a video shooting program stored thereon, where the video shooting program is executed by a processor to implement the steps of the video shooting method as described in any one of the above.
By implementing the video shooting method, the video shooting equipment and the computer readable storage medium, a transformation matrix is obtained by acquiring the image frame and carrying out image registration on the current image frame and the previous image frame; then, calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average; then, covering the motion area on a superposed image corresponding to the exponential average; and finally, drawing and displaying the overlaid superposed image in real time. The humanized video shooting scheme is realized, so that when the video with special motion effect is shot, the shooting waiting time and the image processing resource consumption are reduced, higher operation difficulty and shooting condition constraint are avoided, the shooting efficiency is improved, and the user experience is enhanced.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the methods according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A method of video capture, the method comprising:
acquiring an image frame, and carrying out image registration on a current image frame and a previous image frame to obtain a transformation matrix;
calculating an exponential average of a current image frame and a previous image frame according to the current image frame and the transformation matrix, and determining a motion area of the current image frame relative to the previous image frame according to the exponential average;
said computing an exponential average of a current image frame and a previous image frame from said current image frame and said transformation matrix, determining a region of motion of said current image frame relative to said previous image frame from said exponential average, comprising:
in the created multi-frame synthesis thread, taking the self of a first frame image as an exponential average corresponding to the first frame image;
in the process of sequentially acquiring the image frames, converting the exponential average of the current image frame and the previous image frame according to the change matrix corresponding to the current image frame;
determining a motion region of the current image frame relative to the previous image frame according to the transformation of the exponential averaging;
covering the motion area on a superposed image corresponding to the exponential average;
and drawing and displaying the overlaid superposed image in real time.
2. The video shooting method of claim 1, wherein the obtaining of the image frame and the image registration of the current image frame and the previous image frame to obtain the transformation matrix comprises:
respectively creating a registration thread and a multi-frame synthesis thread at the starting moment of video shooting;
in the registration thread, acquiring a first frame of image, and adopting an identity matrix as a transformation matrix corresponding to the first frame of image;
in the process of sequentially acquiring the image frames, performing image registration on a current image frame and a previous image frame to obtain a transformation matrix corresponding to the current image frame;
and storing the transformation matrix acquired in real time in a transformation matrix shared buffer queue.
3. The video capture method of claim 2, wherein said overlaying the motion region over the overlay image corresponding to the exponential averaging comprises:
determining a preset superposition transparency;
and overlapping the motion area of the current image frame relative to the previous image frame with the current image frame according to the overlapping transparency.
4. The video shooting method according to claim 3, wherein the rendering and displaying the overlaid overlay image in real time comprises:
drawing a superposed image obtained by superposing the motion area and the current image frame in real time, and obtaining a video shooting preview image at any moment according to the superposed image at the moment;
and generating a motion video by the superposed image corresponding to the first frame image and each image frame behind the first frame image.
5. A video capture device, the device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing:
acquiring an image frame, and carrying out image registration on a current image frame and a previous image frame to obtain a transformation matrix;
calculating the exponential average of the current image frame and the previous image frame according to the current image frame and the transformation matrix, and determining the motion area of the current image frame relative to the previous image frame according to the exponential average;
said computing an exponential average of a current image frame and a previous image frame from said current image frame and said transformation matrix, determining a region of motion of said current image frame relative to said previous image frame from said exponential average, comprising:
in the created multi-frame synthesis thread, taking the self of a first frame image as the corresponding exponential average of the first frame image;
in the process of sequentially acquiring the image frames, converting the exponential average of the current image frame and the previous image frame according to the change matrix corresponding to the current image frame;
determining a motion region of the current image frame relative to the previous image frame according to the transformation of the exponential averaging;
covering the motion area on a superposed image corresponding to the exponential average;
and drawing and displaying the overlaid superposed image in real time.
6. The video shooting device of claim 5, wherein the computer program when executed by the processor implements:
respectively creating a registration thread and a multi-frame synthesis thread at the starting moment of video shooting;
in the registration thread, acquiring a first frame of image, and adopting an identity matrix as a transformation matrix corresponding to the first frame of image;
in the process of sequentially acquiring the image frames, performing image registration on a current image frame and a previous image frame to obtain a transformation matrix corresponding to the current image frame;
and storing the transformation matrix acquired in real time in a transformation matrix shared buffer queue.
7. The video shooting device of claim 6, wherein the computer program when executed by the processor implements:
determining a preset superposition transparency;
overlapping the motion area of the current image frame relative to the previous image frame with the current image frame according to the overlapping transparency;
drawing a superposed image obtained by superposing the motion area and the current image frame in real time, and obtaining a video shooting preview image at any moment according to the superposed image at the moment;
and generating a motion video by the superposed image corresponding to the first frame image and each image frame behind the first frame image.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a video shooting program which, when executed by a processor, implements the steps of the video shooting method according to any one of claims 1 to 4.
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