CN105812853A - Image processing method and electronic device - Google Patents
Image processing method and electronic device Download PDFInfo
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- CN105812853A CN105812853A CN201610150772.2A CN201610150772A CN105812853A CN 105812853 A CN105812853 A CN 105812853A CN 201610150772 A CN201610150772 A CN 201610150772A CN 105812853 A CN105812853 A CN 105812853A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/2662—Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
- H04N21/23418—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
Abstract
The invention discloses an image processing method and an electronic device. The method comprises following steps of obtaining video data, wherein the video data at least comprises multiple image frames; determining target objects in the video data; obtaining the motion amplitude feature values corresponding to the target objects between the adjacent image frames; determining the frame play parameters of the video data based on the motion amplitude feature values. According to the method and the device, the image frames corresponding to slow motion played start points and end points are unnecessarily judged through the eyes of a user; the start points and the end points of the image frames played in slow motion are obtained through accurate analysis according to the images; therefore, the slow motion played contents are prevented from being missed or mistaken; the operation processes of the user can be reduced; the processing efficiency can be improved; and the purpose of the method and the device can be realized.
Description
Technical field
The present invention relates to technical field of data processing, particularly to a kind of image processing method and electronic equipment.
Background technology
Along with progress and the development of science and technology of society, the various functions on smart mobile phone are more and more applied in the life of people, such as the function such as shooting of photo and video pictures.In order to keep excellent action moment here, the technique for taking of high frame per second is given birth to therefrom, namely user catches the course of action of object or task by the video capture technology of high frame per second, and reaches slow-motion result of broadcast by adjusting play frame rate, brings better experience for user.
And in existing play frame rate Adjusted Option, usually user's human eye judges starting point and the end point that slow motion plays, and thus, not only the inaccurate content causing slow motion to be play that selects of two points lacks or mistake, also can increase user operation flow process, affect efficiency.
Summary of the invention
In view of this, the invention provides a kind of image processing method and electronic equipment, in order to solve in existing play frame rate Adjusted Option, human eye judges starting point and the end point that slow motion plays, not only can slow motion play content disappearance or mistake, also can increase user operation flow process, affect the technical problem of efficiency.
The invention provides a kind of image processing method, including:
Obtaining video data, described video data at least includes multiple picture frame；
Determine the destination object in described video data；
Obtain the eigenvalue of described destination object motion amplitude corresponding between adjacent picture frame；
Eigenvalue based on described motion amplitude, it is determined that the frame play parameter of described video data.
Said method, it is preferred that described frame play parameter includes frame broadcasting speed, accordingly, the eigenvalue of described motion amplitude is different, and the frame broadcasting speed of its corresponding picture frame is different.
Said method, it is preferred that the described eigenvalue based on described motion amplitude, it is determined that the frame play parameter of described video data, including:
The eigenvalue of the motion amplitude corresponding between m-th picture frame and the m+1 picture frame of described destination object more than default first threshold time, based on described m-th picture frame, determining the first object moment of described video data, m is the positive integer more than or equal to 1；
The eigenvalue of the motion amplitude corresponding between n-th image frame and (n+1)th picture frame of described destination object less than or equal to described first threshold time, based on described n-th image frame, determining the second object time of described video data, n is the positive integer more than or equal to m+1；
Based on described first object moment and described second object time, it is determined that the frame play parameter of described video data.
Said method, it is preferred that the frame broadcasting speed of the picture frame that moment between described first object moment with described second object time is corresponding is less than the frame broadcasting speed of the picture frame in other moment.
Said method, it is preferred that, it is thus achieved that the eigenvalue of the motion amplitude that described destination object is corresponding between adjacent picture frame, including:
Identifying the initial characteristic values that described destination object is corresponding between two adjacent picture frames, described initial characteristic values is multiple；
Based on described initial characteristic values and default feature weight, it is thus achieved that the eigenvalue of the motion amplitude that described destination object is corresponding between two adjacent picture frames.
Said method, it is preferred that the initial characteristic values that the described destination object of described identification is corresponding between two adjacent picture frames, including:
Utilizing motion detection algorithm, extract the initial characteristic values that described destination object is corresponding between two connected picture frames, described initial characteristic values includes the combination in any in motion feature average, motion feature variance and motion feature standard deviation.
Said method, it is preferred that based on described first object moment and described second object time, it is determined that after the frame play parameter of described video data, described method also includes:
Based on the frame play parameter of described video data, play the picture frame in described video data.
Present invention also offers a kind of electronic equipment, including memorizer and processor, wherein:
Described processor, for obtaining video data, described video data at least includes multiple picture frame, determine the destination object in described video data, and obtain the eigenvalue of described destination object motion amplitude corresponding between adjacent picture frame, again based on the eigenvalue of described motion amplitude, it is determined that the frame play parameter of described video data；
Described memorizer, for storing the data needed for described processor operation program.
Above-mentioned electronic equipment, it is preferred that also include:
Image collecting device, is used for gathering described video data.
Above-mentioned electronic equipment, it is preferred that also include:
Video player, for, after the frame play parameter of described video data determined by described processor, based on the frame play parameter of described video data, playing the picture frame in described video data.
From such scheme, a kind of image processing method provided by the invention and electronic equipment, by the destination object in picture frame each in video data is identified, and then the eigenvalue of destination object motion amplitude between neighbor map picture frame is obtained, thus judge whether destination object carries out excellent action, and then determine the frame play parameter of picture frame in video data, starting point and each self-corresponding picture frame of end point that slow motion plays is judged without user's human eye, but carry out accurate analysis according to image, draw starting point and the end point of the picture frame carrying out slow motion broadcasting, the content that slow motion is play thus can not only be avoided to lack or mistake, user operation flow process can also be reduced, improve treatment effeciency, realize the object of the invention.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to the accompanying drawing provided.
The flow chart of a kind of image processing method that Fig. 1 provides for the embodiment of the present invention one；
The partial process view of a kind of image processing method that Fig. 2 provides for the embodiment of the present invention two；
The application example figure of Fig. 3 a～Fig. 3 d respectively embodiment of the present invention；
The partial process view of a kind of image processing method that Fig. 4 provides for the embodiment of the present invention three；
The flow chart of a kind of image processing method that Fig. 5 provides for the embodiment of the present invention four；
The structural representation of a kind of electronic equipment that Fig. 6 provides for the embodiment of the present invention five；
The structural representation of a kind of electronic equipment that Fig. 7 provides for the embodiment of the present invention six；
Fig. 8 is another structural representation of the embodiment of the present invention six.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
With reference to Fig. 1, flowchart for a kind of image processing method that the embodiment of the present invention one provides, wherein, described method may be used for finding the picture frame needing to carry out slow motion broadcasting in each picture frame of video data, thus finds the starting point carrying out slow motion broadcasting and end point.
Concrete, in the present embodiment, it is possible to comprise the following steps:
Step 101: obtain video data.
Wherein, described video data can pass through image acquisition device, and these video datas are obtained by the present embodiment, at least includes multiple picture frame in described video data, say, that described video data is video data corresponding in certain time length.
It should be noted that the present embodiment adopts altofrequency image acquisition modality, video data as described in 120fps or 240fps shooting or collection.
Step 102: determine the destination object in described video data.
It is to say, described video data is the video data of at least one Moving Objects, the Moving Objects determined in the present embodiment in described video data is destination object.
Concrete, the present embodiment can pass through to receive the input operation of user, as clicked destination object region, and then determine the destination object in this video data, such as the people etc. played ball.
Step 103: obtain the eigenvalue of described destination object motion amplitude corresponding between adjacent picture frame.
Wherein, the eigenvalue of the motion amplitude that described destination object is corresponding between adjacent picture frame can characterize described destination object and quickly moves or carry out in the process of excellent action, as run and high jump etc. is moved.
Step 104: based on the eigenvalue of described motion amplitude, it is determined that the frame play parameter of described video data.
That is, the present embodiment utilizes the eigenvalue of described destination object motion amplitude corresponding between adjacent picture frame, determine that described destination object carries out process or the time period of quickly movement, and then determine the frame play parameter of associated picture frame in described video data, as described in destination object carry out the quickly mobile corresponding time period and adjust its frame play parameter, the frame play parameter of other picture frames is constant or also does corresponding adjustment etc..
From such scheme, a kind of image processing method that the embodiment of the present invention one provides, by the destination object in picture frame each in video data is identified, and then the eigenvalue of destination object motion amplitude between neighbor map picture frame is obtained, thus judge whether destination object carries out excellent action, and then determine the frame play parameter of picture frame in video data, starting point and each self-corresponding picture frame of end point that slow motion plays is judged without user's human eye, but carry out accurate analysis according to image, draw starting point and the end point of the picture frame carrying out slow motion broadcasting, the content that slow motion is play thus can not only be avoided to lack or mistake, user operation flow process can also be reduced, improve treatment effeciency, realize the present embodiment purpose.
In actual applications, described frame play parameter can be: frame broadcasting speed, that is, at the eigenvalue based on described motion amplitude in the present embodiment, determine that described destination object carries out the process of quickly movement or after the time period, it is determined that the frame broadcasting speed of described video data, accordingly, its frame broadcasting speed can be adjusted, it is achieved the present embodiment purpose in the time period that described destination object carries out corresponding to quick movement.Concrete, the eigenvalue of described motion amplitude is different, and the frame broadcasting speed of its corresponding picture frame is different, and e.g., when eigenvalue is bigger, the frame broadcasting speed of two picture frames of its correspondence reduces；Or when eigenvalue is less, the frame broadcasting speed of two picture frames of its correspondence raises, and identical eigenvalue, the frame broadcasting speed of corresponding picture frame can be identical, it is also possible to arranges different frame broadcasting speeds according to demand.
In implementing, the present embodiment by eigenvalue carries out threshold decision, and then can determine the frame play parameter of associated picture frame in described video data.With reference to Fig. 2, for the flowchart of step 104 described in a kind of image processing method that the embodiment of the present invention two provides, wherein, described step 104 can be realized by following steps:
Step 141: the eigenvalue of the motion amplitude corresponding between m-th picture frame and the m+1 picture frame of described destination object more than default first threshold time, based on described m-th picture frame, it is determined that the first object moment of described video data.
Wherein, m is the positive integer more than or equal to 1.Concrete, the moment of described m-th picture frame is defined as the first object moment of described video data by the present embodiment.
Step 142: the eigenvalue of the motion amplitude corresponding between n-th image frame and (n+1)th picture frame of described destination object less than or equal to described first threshold time, based on described n-th image frame, it is determined that the second object time of described video data.
Wherein, n is the positive integer more than or equal to m+1.Concrete, the moment of described n-th image frame is defined as the second object time of described video data by the present embodiment.
Step 143: based on described first object moment and described second object time, it is determined that the frame play parameter of described video data.
That is, the eigenvalue of motion amplitude is exceeded by the present embodiment the image moment of picture frame of described first threshold as initial time, and the eigenvalue of motion amplitude is reduced to image moment as the finish time of described first threshold or below figure picture frame, and then adjust the frame play parameter of picture frame corresponding to the moment between this initial time and described finish time, obtain the frame play parameter of whole video data, in Fig. 3 a, the frame play parameter of the picture frame between adjustment m-th picture frame and n-th image frame.
It should be noted that, m and n here is for define in groups, that is, in the whole picture frame sequence of described video data, multistage can be had to need to adjust the picture frame of frame play parameter, such as the picture frame between m-th picture frame and n-th image frame, picture frame between m+x picture frame and the n-th+y picture frame, or picture frame between m+q picture frame and the n-th+p picture frame etc., as shown in figure 3b, the time period that these picture frames are corresponding is that described destination object quickly moves or time period of excellent action, thus, by analyzing the eigenvalue of the motion amplitude between neighbor map picture frame in the present embodiment, and then find destination object to carry out picture frame corresponding to time period of quickly movement, and then determine the frame play parameter of respective image frame in described video data.
Concrete, the frame broadcasting speed of the picture frame that moment between described first object moment with described second object time is corresponding is less than the frame broadcasting speed of the picture frame in other moment.As shown in figure 3b, the frame broadcasting speed of the picture frame corresponding to picture frame between the picture frame between the picture frame between m-th picture frame and n-th image frame, m+x picture frame and the n-th+y picture frame, m+q picture frame and the n-th+p picture frame is c1, the frame broadcasting speed of the picture frame that other moment are corresponding is c2, c1 is less than c2, thus, the present embodiment quickly moves or frame broadcasting speed in excellent course of action by reducing destination object, namely carry out slow motion broadcasting so that user can capture the splendid contents in video data.
It should be noted that, here c1 can be less than the normal playback speed c3 of picture frame in described video data, and c2 can be more than or equal to the normal playback speed c3 of picture frame in described video data, it is to say, its frame broadcasting speed can be improved for the picture frame that non-splendid contents is corresponding.
Additionally, in the present embodiment after determining first object moment and described second object time, can suitably delete first object moment described in described video data and the picture frame corresponding to other moment outside the moment between described second object time according to demand, such as, to the 1st picture frame between picture frame and m-th picture frame, picture frame between n-th image frame and described the m+x picture frame, n-th+y the picture frame between picture frame and the m+q picture frame, corresponding picture frame can be deleted according to certain frequency, the picture frame identifying black in Fig. 3 d is deleted, and then reduce the picture frame that non-splendid contents is corresponding, thus reduce the memory space of the video data that shooting obtains.
In implementing, the eigenvalue of the motion amplitude that described destination object is corresponding between adjacent picture frame can by determining the eigenvalue of its final motion amplitude to the initial characteristic values of destination object in neighbor map picture frame and correlated characteristic weights, concrete, with reference to Fig. 4, flowchart for step 103 described in a kind of image processing method that the embodiment of the present invention three provides, wherein, described step 103 can be realized by following steps:
Step 131: identify the initial characteristic values that described destination object is corresponding between two adjacent picture frames.
Wherein, described initial characteristic values is multiple, concrete, the present embodiment can utilize motion detection algorithm neighbor map picture frame is carried out poor, and then extracting the initial characteristic values that described destination object is corresponding between two connected picture frames, described initial characteristic values includes the combination in any in motion feature average, motion feature variance and motion feature standard deviation.
Step 132: based on described initial characteristic values and default feature weight, it is thus achieved that the eigenvalue of the motion amplitude that described destination object is corresponding between two adjacent picture frames.
Concrete, the present embodiment can utilize below equation obtain the eigenvalue of described destination object motion amplitude corresponding between two adjacent picture frames:
MotionFeature=K1*Feature1+K2*Feature2+…+Kn*Featuren
Wherein, Feature1、Feature2、…、FeaturenThe initial characteristic values that respectively described destination object is corresponding between two adjacent picture frames, K1、K2、…、KnRespectively corresponding in each described initial characteristics default feature weight, motionFeature is the eigenvalue of the corresponding motion amplitude between neighbor map picture frame.
With reference to Fig. 5, for the flowchart of a kind of image processing method that the embodiment of the present invention four provides, wherein, after described step 104, described method can also include:
Step 105: based on the frame play parameter of described video data, play the picture frame in described video data.
Concrete, the present embodiment can pass through the image output devices such as video player and export the picture frame in described video data.
With reference to Fig. 6, for the structural representation of a kind of electronic equipment that the embodiment of the present invention five provides, wherein, described electronic equipment can include processor 601 and memorizer 602, wherein:
Described processor 601, for obtaining video data, described video data at least includes multiple picture frame, determine the destination object in described video data, and obtain the eigenvalue of described destination object motion amplitude corresponding between adjacent picture frame, again based on the eigenvalue of described motion amplitude, it is determined that the frame play parameter of described video data.
Described memorizer 602, for storing the data needed for described processor operation program.
Wherein, described memorizer 602 can be arranged on the storage devices such as disk in described electronic equipment, hard disk.
It should be noted that the function that implements of described processor 601 is referred to related method embodiment in above, no longer describe in detail herein.
From such scheme, a kind of electronic equipment that the embodiment of the present invention five provides, by processor, the destination object in picture frame each in video data is identified, and then the eigenvalue of destination object motion amplitude between neighbor map picture frame is obtained, thus judge whether destination object carries out excellent action, and then determine the frame play parameter of picture frame in video data, starting point and each self-corresponding picture frame of end point that slow motion plays is judged without user's human eye, but carry out accurate analysis according to image, draw starting point and the end point of the picture frame carrying out slow motion broadcasting, the content that slow motion is play thus can not only be avoided to lack or mistake, user operation flow process can also be reduced, improve treatment effeciency, realize the present embodiment purpose.
With reference to Fig. 7, for the structural representation of a kind of electronic equipment that the embodiment of the present invention six provides, wherein, described electronic equipment also includes following structure:
Image collecting device 603, is used for gathering described video data.
Concrete, electronic equipment in the present embodiment is when carrying out image procossing, first start described image collecting device 603 and carry out the collection of picture frame, and then the picture frame in described processor 601 video data that image collecting device 603 is collected processes, concrete, destination object in picture frame each in video data is identified, and then the eigenvalue of destination object motion amplitude between neighbor map picture frame is obtained, thus judge whether destination object carries out excellent action, and then determine the frame play parameter of picture frame in video data, other subsequent treatment can also be carried out, as deleted the parts of images frame of non-excellent action, and then reduce the memory space of video data, picture frame in video data described in this process can be stored in described memorizer 602.
It addition, as shown in Figure 8, described electronic equipment can also include following structure:
Video player 604, for, after the frame play parameter of described video data determined by described processor 601, based on the frame play parameter of described video data, playing the picture frame in described video data, show user to watch.
For aforesaid each embodiment of the method, in order to be briefly described, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the application is not by the restriction of described sequence of movement, because according to the application, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, embodiment described in this description belongs to preferred embodiment, necessary to involved action and module not necessarily the application.
In this specification, each embodiment adopts the mode gone forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment, owing to it corresponds to the method disclosed in Example, so what describe is fairly simple, relevant part illustrates referring to method part.
It should be noted that, in this article, the relational terms of such as first and second or the like is used merely to separate an entity or operation with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or equipment not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or equipment.When there is no more restriction, statement " including ... " key element limited, it is not excluded that there is also other identical element in including the process of described key element, method, article or equipment.
For convenience of description, it is divided into various unit to be respectively described with function when describing apparatus above.Certainly, the function of each unit can be realized in same or multiple softwares and/or hardware when implementing the application.
As seen through the above description of the embodiments, those skilled in the art is it can be understood that can add the mode of required general hardware platform by software to the application and realize.Based on such understanding, the part that prior art is contributed by the technical scheme of the application substantially in other words can embody with the form of software product, this computer software product can be stored in storage medium, such as ROM/RAM, magnetic disc, CD etc., including some instructions with so that a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the application or embodiment.
Described above to the disclosed embodiments, makes professional and technical personnel in the field be capable of or uses the application.The multiple amendment of these embodiments be will be apparent from for those skilled in the art, and generic principles defined herein when without departing from spirit herein or scope, can realize in other embodiments.Therefore, the application is not intended to be limited to the embodiments shown herein, and is to fit to the widest scope consistent with principles disclosed herein and features of novelty.
Claims (10)
1. an image processing method, including:
Obtaining video data, described video data at least includes multiple picture frame；
Determine the destination object in described video data；
Obtain the eigenvalue of described destination object motion amplitude corresponding between adjacent picture frame；
Eigenvalue based on described motion amplitude, it is determined that the frame play parameter of described video data.
2. method according to claim 1, it is characterised in that described frame play parameter includes frame broadcasting speed, accordingly, the eigenvalue of described motion amplitude is different, and the frame broadcasting speed of its corresponding picture frame is different.
3. method according to claim 1 and 2, it is characterised in that the described eigenvalue based on described motion amplitude, it is determined that the frame play parameter of described video data, including:
The eigenvalue of the motion amplitude corresponding between m-th picture frame and the m+1 picture frame of described destination object more than default first threshold time, based on described m-th picture frame, determining the first object moment of described video data, m is the positive integer more than or equal to 1；
The eigenvalue of the motion amplitude corresponding between n-th image frame and (n+1)th picture frame of described destination object less than or equal to described first threshold time, based on described n-th image frame, determining the second object time of described video data, n is the positive integer more than or equal to m+1；
Based on described first object moment and described second object time, it is determined that the frame play parameter of described video data.
4. method according to claim 3, it is characterised in that the frame broadcasting speed of the picture frame that moment between described first object moment with described second object time is corresponding is less than the frame broadcasting speed of the picture frame in other moment.
5. method according to claim 1 and 2, it is characterised in that obtain the eigenvalue of described destination object motion amplitude corresponding between adjacent picture frame, including:
Identifying the initial characteristic values that described destination object is corresponding between two adjacent picture frames, described initial characteristic values is multiple；
Based on described initial characteristic values and default feature weight, it is thus achieved that the eigenvalue of the motion amplitude that described destination object is corresponding between two adjacent picture frames.
6. method according to claim 5, it is characterised in that the initial characteristic values that the described destination object of described identification is corresponding between two adjacent picture frames, including:
Utilizing motion detection algorithm, extract the initial characteristic values that described destination object is corresponding between two connected picture frames, described initial characteristic values includes the combination in any in motion feature average, motion feature variance and motion feature standard deviation.
7. method according to claim 1 and 2, it is characterised in that based on described first object moment and described second object time, it is determined that after the frame play parameter of described video data, described method also includes:
Based on the frame play parameter of described video data, play the picture frame in described video data.
8. an electronic equipment, including memorizer and processor, wherein:
Described processor, for obtaining video data, described video data at least includes multiple picture frame, determine the destination object in described video data, and obtain the eigenvalue of described destination object motion amplitude corresponding between adjacent picture frame, again based on the eigenvalue of described motion amplitude, it is determined that the frame play parameter of described video data；
Described memorizer, for storing the data needed for described processor operation program.
9. electronic equipment according to claim 8, it is characterised in that also include:
Image collecting device, is used for gathering described video data.
10. electronic equipment according to claim 8 or claim 9, it is characterised in that also include:
Video player, for, after the frame play parameter of described video data determined by described processor, based on the frame play parameter of described video data, playing the picture frame in described video data.
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| CN107358241A (en) * | 2017-06-30 | 2017-11-17 | 广东欧珀移动通信有限公司 | Image processing method, device, storage medium and electronic equipment |
| CN110324640A (en) * | 2019-07-12 | 2019-10-11 | 青岛一舍科技有限公司 | A kind of intelligent panoramic video broadcasting method and device |
| WO2019227324A1 (en) * | 2018-05-30 | 2019-12-05 | 深圳市大疆创新科技有限公司 | Method and device for controlling video playback speed and motion camera |
| CN111787357A (en) * | 2020-07-28 | 2020-10-16 | 联想(北京)有限公司 | Video processing method and electronic equipment |
| CN112532865A (en) * | 2019-09-19 | 2021-03-19 | 华为技术有限公司 | Slow-motion video shooting method and electronic equipment |
| US11533428B2 (en) | 2020-01-23 | 2022-12-20 | Samsung Electronics Co., Ltd. | Electronic device and method for controlling electronic device |
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| CN110324640B (en) * | 2019-07-12 | 2021-09-03 | 青岛一舍科技有限公司 | Intelligent panoramic video playing method and device |
| CN112532865A (en) * | 2019-09-19 | 2021-03-19 | 华为技术有限公司 | Slow-motion video shooting method and electronic equipment |
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