CN105469381A - Information processing method and terminal - Google Patents
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- CN105469381A CN105469381A CN201410461497.7A CN201410461497A CN105469381A CN 105469381 A CN105469381 A CN 105469381A CN 201410461497 A CN201410461497 A CN 201410461497A CN 105469381 A CN105469381 A CN 105469381A
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Abstract
The invention discloses an information processing method and a terminal. The method comprises that a video file is obtained and analyzed to obtain attribute parameters of the video file; start time for screenshot is determined according to the attribute parameters of the video file; screenshot is carried out on the video file in a first preset manner based on the start time, and an object picture is obtained; and whether the object picture satisfies a preset condition is determined, and if yes, the target picture is stored.
Description
Technical field
The present invention relates to mechanics of communication, particularly relate to a kind of information processing method and terminal.
Background technology
Present inventor, in the process realizing the embodiment of the present application technical scheme, at least finds to there is following technical matters in correlation technique:
Produce content gradually as under a kind of main flow form of internet user, the content how automatically organizing and represent user to produce better is a problem needing solution badly.At video field, it is a kind of commonplace mode that described user produces in content that user carries out automatic sectional drawing to video content.Traditional sectional drawing is carried out to video content generally adopt following two kinds of modes: a kind of mode is by human-edited, i.e. user's editing video file, samples to a certain frame of video file thus obtains sectional drawing; Another kind of mode is that terminal to server sends sectional drawing instruction, by server by sampling to a certain frame of video file thus obtain sectional drawing.
Then, the first sectional drawing mode needs a large amount of human resources; The second sectional drawing mode needs server end to sample to video file, send in the process of instruction at terminal to server, and server is carrying out, in sectional drawing processing logic process, consuming certain hour, the sectional drawing obtained often through server has not been the sectional drawing that user wants.
If there is a kind of information processing scheme, can disturb without the need to user, namely manually carry out video interception without the need to user, and without the need to performing video interception logic by server end, only just can be realized the automatic control of video interception by terminal.But, in correlation technique, for this problem, there is no effective solution.
Summary of the invention
In view of this, the embodiment of the present invention, desirable to provide a kind of information processing method and terminal, can realize the intelligent sectional drawing of end side to video file.
The technical scheme of the embodiment of the present invention is achieved in that
Embodiments provide a kind of information processing method, described method comprises:
Obtain and analyze video file, obtaining the property parameters of described video file;
According to the start time of the property parameters determination sectional drawing of described video file;
Utilize the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtain Target Photo;
Judge whether described Target Photo meets pre-conditioned, when described Target Photo meets pre-conditioned, preserve described Target Photo.
In such scheme, described Target Photo meets pre-conditioned, comprising:
Described Target Photo is generated gray scale picture by presetting conversion regime;
Determine the gray-scale value of each pixel in described gray scale picture;
By the quantity presetting statistical pixel point between gray area,
When the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
In such scheme, describedly utilize before the first predetermined manner carries out sectional drawing to described video file based on the described start time, described method also comprises:
First parameter is set; Described first parameter comprises: carry out the time interval of sectional drawing to described video file and described video file carried out to the time interval of sectional drawing.
In such scheme, describedly utilize the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtain Target Photo, comprising:
Based on the described time interval and described start time, in described time interval, utilize described first predetermined manner to carry out sectional drawing to described video file, obtain M frame Target Photo; M is positive integer;
Accordingly, the described Target Photo of described preservation, comprising:
Preserve N frame Target Photo; N is positive integer; Wherein, described N frame Target Photo is meet described pre-conditioned Target Photo in described M frame Target Photo.
In such scheme, described method also comprises: described N frame Target Photo is generated dynamic picture by the second predetermined manner.
In such scheme, the property parameters of described video file is the duration of described video file;
The start time of the described property parameters determination sectional drawing according to described video file, comprising:
The type of described video file is determined, according to the start time of the default empirical value determination sectional drawing of often kind of video file according to the duration of described video file.
In such scheme, described video file is MP4 file or Streaming Media (HLS) file.
The embodiment of the present invention additionally provides a kind of terminal, and described terminal comprises: acquiring unit, sectional drawing unit, identifying unit and storage unit; Wherein,
Described acquiring unit, for obtaining and analyzing video file, obtains the property parameters of described video file;
Described sectional drawing unit, for the start time of the property parameters determination sectional drawing of described video file obtained according to described acquiring unit; Utilize the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtain Target Photo;
Described identifying unit, for judging whether the Target Photo that described sectional drawing unit obtains meets pre-conditioned;
Described storage unit, for when described identifying unit determines that described Target Photo meets pre-conditioned, preserves described Target Photo.
In such scheme, described identifying unit, for generating gray scale picture by described Target Photo by presetting conversion regime; Determine the gray-scale value of each pixel in described gray scale picture; By the quantity presetting statistical pixel point between gray area, when the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
In such scheme, described terminal also comprises setting unit, utilizes before the first predetermined manner carries out sectional drawing to described video file, arrange the first parameter for described sectional drawing unit based on the described start time; Described first parameter comprises: carry out the time interval of sectional drawing to described video file and described video file carried out to the time interval of sectional drawing.
In such scheme, described sectional drawing unit, for described time interval of arranging based on described setting unit and described start time, utilizes described first predetermined manner to carry out sectional drawing to described video file in described time interval, obtains M frame Target Photo; M is positive integer;
Accordingly, described identifying unit, for judging whether the M frame Target Photo that described sectional drawing unit obtains meets pre-conditioned, obtains judged result;
Described storage unit, for when the judged result that described identifying unit obtains be N frame Target Photo meet pre-conditioned time, preserve described N frame Target Photo; Wherein, described N frame Target Photo is meet described pre-conditioned Target Photo in described M frame Target Photo.
In such scheme, described terminal also comprises generation unit, for the described N frame Target Photo of described cell stores is generated dynamic picture by the second predetermined manner.
In such scheme, the property parameters of described video file is the duration of described video file;
Then described sectional drawing unit, for determining the type of described video file according to the duration of described video file, according to the start time of the default empirical value determination sectional drawing of often kind of video file.
In such scheme, described video file is MP4 file or HLS file.
The information processing method that the embodiment of the present invention provides and terminal, obtained by terminal and analyze video file, obtains the property parameters of described video file; According to the start time of the property parameters determination sectional drawing of described video file; Utilize the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtain Target Photo; Judge whether described Target Photo meets pre-conditioned, when described Target Photo meets pre-conditioned, preserve described Target Photo.So, achieve the intelligent sectional drawing of end side to video file, just can realize the sectional drawing of terminal to video file without the need to manual operation, greatly save human resources; And without the need to performing video interception logic by server end, avoiding and carrying out by server end the time delay that video interception brings, improving the experience of user.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the information processing method of the embodiment of the present invention one;
Fig. 2 a ~ Fig. 2 f is that in the embodiment of the present invention, whether target image meets pre-conditioned schematic diagram;
Fig. 3 is the schematic flow sheet of the information processing method of the embodiment of the present invention two;
Fig. 4 is the schematic flow sheet of the information processing method of the embodiment of the present invention three;
Fig. 5 is the schematic flow sheet of the information processing method of the embodiment of the present invention four;
Fig. 6 is the first composition structural representation of the terminal of the embodiment of the present invention;
Fig. 7 is the second composition structural representation of the terminal of the embodiment of the present invention;
Fig. 8 is the third composition structural representation of the terminal of the embodiment of the present invention.
Embodiment
Be described in further detail below in conjunction with the enforcement of accompanying drawing to technical scheme.
Embodiment one
Embodiments provide a kind of information processing method; Described information processing method application in the terminal; Fig. 1 is the schematic flow sheet of the information processing method of the embodiment of the present invention one; As shown in Figure 1, described method comprises:
Step 101: obtain and analyze video file, obtains the property parameters of described video file.
Here, the existence form of described video file mainly comprises two kinds of modes: a kind of mode is local file form, and namely video file is complete stores in terminal local; Another kind of mode is far-end document form, and namely video file is stored on the server of far-end, and terminal user is connected with the server of far-end by browser or client, watches described video file.
The information processing method that the embodiment of the present invention provides supports two kinds of video format: MP4 or HLS; When described video file exists with local file form, described video file has local IP access address, such as: file: //var/mobile/Application/FASLDKW-2323JSD-34SNDFJ-34453M/Do cuments/downloads/1.mp4; When described video file exists with far-end document form, described video file has network reference address, and terminal accesses described video file by described network reference address; Concrete, described network reference address represents by URL(uniform resource locator) (URL, UniformResourceLocator); Such as: the URL of described video file can be: http://video.qq.com/12333/2222/1.m3u8.Therefore in this step, described acquisition video file, comprising: the form determining described video file according to the reference address of video file, when the form determining described video file is MP4 or HLS, obtains described video file.Concrete, terminal can determine the form of described video file according to the suffix of the reference address of described video file, the suffix of the video file of local file form is as shown in this embodiment " .mp4 ", being then defined as described video file is mp4 video file; The suffix of the video file of far-end document form is as shown in this embodiment " .m3u8 " again, being then defined as described video file is HLS file.In addition, when described video file exists with local file form, the form of described video file can also be determined according to the suffix of the filename of described video file, as when as described in the file by name " 1.mp4 " of video file, then represent the file " 1 " by name of described video file, file layout is mp4.
Preferably, when described video file exists with far-end document form, the described video file of described acquisition also comprises further: download described video file.
Here, the property parameters of described video file comprises the duration of described video file; The then described video file of described analysis, obtain the property parameters of described video file, comprise: analyze described video file, obtain the information such as the size of described video file, encoding rate, according to size and the encoding rate of described video file, determine the duration of described video file, namely obtain the property parameters of described video file.
Step 102: according to the start time of the property parameters determination sectional drawing of described video file.
Here, the start time of the described property parameters determination sectional drawing according to described video file, comprising:
The type of described video file is determined, according to the start time of the default empirical value determination sectional drawing of often kind of video file according to the duration of described video file.
Concrete, according to the duration of described video file, described video file can be divided into three kinds: short-sighted frequency, collection of drama type video and film types video; Wherein, the video file that duration is less than 20 minutes can be defined as short-sighted frequency; The video file of duration between 20 minutes to 60 minutes can be defined as collection of drama type video; The video file of duration more than 100 minutes can be defined as film types video.Then respectively according to the head length of short-sighted frequency, collection of drama type video and film types video and the empirical value of Ad Length, can determine the described start time, the start time as short-sighted frequency can be defined as locating for 15 seconds of initial time; The start time of collection of drama type video can be defined as 120 seconds places of initial time; The start time of film types video can be defined as 180 seconds places of initial time.
Step 103: utilize the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtains Target Photo.
In the present embodiment, described first predetermined manner is FFMPEG, then this step also can be: utilize FFMPEG to carry out sectional drawing to described video file based on the described start time, obtains Target Photo.
Step 104: judge whether described Target Photo meets pre-conditioned, when described Target Photo meets pre-conditioned, preserves described Target Photo.
Here, described Target Photo meets pre-conditioned, comprising:
Described Target Photo is generated gray scale picture by presetting conversion regime;
Determine the gray-scale value of each pixel in described gray scale picture;
By the quantity presetting statistical pixel point between gray area, when the quantity of the pixel when between arbitrary gray area and the ratio of all pixel quantity reach predetermined threshold value, determine that described Target Photo does not meet described pre-conditioned;
When the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
Concrete, the intensity value ranges in gray scale picture is 0 to 255; In the present embodiment, described intensity value ranges can be equally divided into 10 intervals, namely carry out gray-scale value statistics every 25.5 gray units; As intensity value ranges being equally divided into 10 intervals be: [0,25.5>, [25.5,51>, [51,76.5>, [76.5,102>, [102,127.5>, [127.5,153>, [153,178.5>, [178.5,204>, [204,229.5> and [229.5,255]; Wherein, " [" represents and is more than or equal to; "] " represent be less than or equal to; " > " represents and is less than; The quantity of statistical pixel point in above-mentioned ten gray value interval, and by the pixel quantity in above-mentioned ten gray value interval compared with all pixel quantity of described target image, obtain the pixel quantity of each gray value interval and the number percent of all pixel quantity, when the number percent of arbitrary gray value interval exceedes predetermined threshold value (described predetermined threshold value is as 50%), then described target image does not meet described pre-conditioned; When the number percent of all gray value interval is no more than described predetermined threshold value (described predetermined threshold value is as 50%), then described target image meets described pre-conditioned.
Fig. 2 a ~ Fig. 2 f is that in the embodiment of the present invention, whether target image meets pre-conditioned schematic diagram; In this example, described predetermined threshold value is 50%.As shown in Figure 2 a, in described image, the pixel quantity of gray value interval and the ratio of pixel total quantity are up to 95%, determine that described image does not meet described pre-conditioned; As shown in Figure 2 b, in described image, the pixel quantity of gray value interval and the ratio of pixel total quantity are up to 73%, determine that described image does not meet described pre-conditioned; As shown in Figure 2 c, in described image, the pixel quantity of gray value interval and the ratio of pixel total quantity are up to 42%, determine that described image meets described pre-conditioned; As shown in Figure 2 d, in described image, the pixel quantity of gray value interval and the ratio of pixel total quantity are up to 46%, determine that described image meets described pre-conditioned; As shown in Figure 2 e, in described image, the pixel quantity of gray value interval and the ratio of pixel total quantity are up to 37%, determine that described image meets described pre-conditioned; As shown in figure 2f, in described image, the pixel quantity of gray value interval and the ratio of pixel total quantity are up to 24%, determine that described image does not meet described pre-conditioned.
In the present embodiment, when described Target Photo meet described pre-conditioned time, illustrate that the content of described Target Photo is abundanter, excluding described Target Photo is the situations such as blank screen frame, dull image frame, is preserved by described Target Photo as video interception.
Embodiments provide a kind of scheme of video interception, obtain a Target Photo; In a preferred implementation of the embodiment of the present invention, describedly utilize before the first predetermined manner carries out sectional drawing to described video file based on the described start time, described method also comprises:
First parameter is set; Described first parameter comprises: carry out the time interval of sectional drawing to described video file and described video file carried out to the time interval of sectional drawing.
Here, described the time interval of sectional drawing is carried out such as to described video file: the length of described video file is 50 minutes, and can arrange described time interval is the 3rd minute to the 45th minute; Described carried out such as the time interval of sectional drawing to described video file: sectional drawing x frame per second; X is positive integer; Certainly the time interval of the sectional drawing of above-mentioned setting and the time interval of sectional drawing is not limited to; Wherein, described first parameter pre-sets by terminal, also manually can be arranged by user before video interception.
Further, based on the described time interval and described start time, in described time interval, utilize described first predetermined manner to carry out sectional drawing to described video file, obtain M frame Target Photo; M is positive integer;
Judge whether described M frame Target Photo meets pre-conditioned;
Preserve N frame Target Photo; N is positive integer; Wherein, described N frame Target Photo is meet described pre-conditioned Target Photo in described M frame Target Photo.
Here, the implementation method of the acquisition of described M frame Target Photo and the preservation of described N frame Target Photo is identical to step 104 with the step 103 in embodiment one, repeats no more here; Unlike, based on the time interval of the described sectional drawing arranged in the present embodiment, in the time interval of the described sectional drawing arranged, obtain M frame Target Photo, and preservation meets described pre-conditioned N frame Target Photo.
Further, described N frame Target Photo is generated dynamic picture by the second predetermined manner.
Here, N frame Target Photo is generated GIF(Graphic Interchange format) (GIF, GraphicInterchangeFormat) dynamic picture by the picture processing instrument (as PHOTOSHOP) by presetting.
Adopt the technical scheme of the embodiment of the present invention, achieve the intelligent sectional drawing of end side to video file, just can realize the sectional drawing of terminal to video file without the need to manual operation, greatly save human resources; And without the need to performing video interception logic by server end, avoiding and carrying out by server end the time delay that video interception brings, improving the experience of user.
For embody rule scene, the embodiment of the present invention is described in further detail below.
Embodiment two
The embodiment of the present invention additionally provides a kind of information processing method; In the present embodiment, video file is far-end file mode, and namely video file is stored on far-end server, and the form of described video file is MP4 form; Fig. 3 is the schematic flow sheet of the information processing method of the embodiment of the present invention two; As shown in Figure 3, described method comprises:
Step 201: analyze the URL of video file, determines that the type of described video file is MP4, and downloads described video file.
Here, described video file is stored on far-end server, and described video file has network reference address, and terminal accesses described video file by described network reference address; Concrete, described network reference address represents by URL; Such as: the URL of described video file can be: http://video.qq.com/12333/2222/1.mp4; The URL of terminal to described video file analyzes, the form of described video file can be determined according to the suffix of the reference address of described video file, the suffix of the video file of far-end document form is as shown in this embodiment " .mp4 ", and being defined as described video file is MP4 video file; Further, the URL based on described video file downloads described video file.
Step 202: analyze described video file, obtains the property parameters of described video file.
Here, the property parameters of described video file comprises the duration of described video file; The then described video file of described analysis, obtain the property parameters of described video file, comprise: analyze described video file, obtain the information such as the size of described video file, encoding rate, according to size and the encoding rate of described video file, determine the duration of described video file, namely obtain the property parameters of described video file.
Step 203: according to the start time of the property parameters determination sectional drawing of described video file.
Here, the start time of the described property parameters determination sectional drawing according to described video file, comprising:
The type of described video file is determined, according to the start time of the default empirical value determination sectional drawing of often kind of video file according to the duration of described video file.
Concrete, according to the duration of described video file, described video file can be divided into three kinds: short-sighted frequency, collection of drama type video and film types video; Wherein, the video file that duration is less than 20 minutes can be defined as short-sighted frequency; The video file of duration between 20 minutes to 60 minutes can be defined as collection of drama type video; The video file of duration more than 100 minutes can be defined as film types video.Then respectively according to the head length of short-sighted frequency, collection of drama type video and film types video and the empirical value of Ad Length, can determine the described start time, the start time as short-sighted frequency can be defined as locating for 15 seconds of initial time; The start time of collection of drama type video can be defined as 120 seconds places of initial time; The start time of film types video can be defined as 180 seconds places of initial time.
Step 204: utilize FFMPEG to carry out sectional drawing to described video file based on the described start time, obtains Target Photo.
Step 205: judge whether described Target Photo meets pre-conditioned, when the result judged is as being, performs step 206; When the result judged is no, perform step 207.
Here, described Target Photo meets pre-conditioned, comprising:
Described Target Photo is generated gray scale picture by presetting conversion regime;
Determine the gray-scale value of each pixel in described gray scale picture;
By the quantity presetting statistical pixel point between gray area, when the quantity of the pixel when between arbitrary gray area and the ratio of all pixel quantity reach predetermined threshold value, determine that described Target Photo does not meet described pre-conditioned;
When the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
Concrete, the intensity value ranges in gray scale picture is 0 to 255; In the present embodiment, described intensity value ranges can be equally divided into 10 intervals, namely carry out gray-scale value statistics every 25.5 gray units; As intensity value ranges being equally divided into 10 intervals be: [0,25.5>, [25.5,51>, [51,76.5>, [76.5,102>, [102,127.5>, [127.5,153>, [153,178.5>, [178.5,204>, [204,229.5> and [229.5,255]; Wherein, " [" represents and is more than or equal to; "] " represent be less than or equal to; " > " represents and is less than; The quantity of statistical pixel point in above-mentioned ten gray value interval, and by the pixel quantity in above-mentioned ten gray value interval compared with all pixel quantity of described target image, obtain the pixel quantity of each gray value interval and the number percent of all pixel quantity, when the number percent of arbitrary gray value interval exceedes predetermined threshold value (described predetermined threshold value is as 50%), then described target image does not meet described pre-conditioned; When the number percent of all gray value interval is no more than described predetermined threshold value (described predetermined threshold value is as 50%), then described target image meets described pre-conditioned.
Step 206: preserve described Target Photo, sectional drawing terminates.
In the present embodiment, when described Target Photo meet described pre-conditioned time, illustrate that the content of described Target Photo is abundanter, excluding described Target Photo is the situations such as blank screen frame, dull image frame, is preserved by described Target Photo as video interception.
Step 207: the start time reselecting described video file, performs step 204 ~ step 205 further.
In the present embodiment, when described Target Photo do not meet described pre-conditioned time, then reselect the start time, namely re-execute step 204 ~ step 205; Wherein, reselect the start time described according to the start time determined for the first time, can postpone preset time period backward; The start time such as determined for the first time is that the 180th second of described video file is located, then the described start time reselected can be defined as locating for the 180th second+5 seconds (described 5 seconds is preset time period, is not limited to current value) of described video file.
The technical scheme that the present embodiment provides is applied to far-end file mode scene, and video file is MP4 video file; When described MP4 video file exists with local file pattern, without the need to downloading described video file, directly perform step 202 to step 207.
Adopt the technical scheme of the embodiment of the present invention, achieve the intelligent sectional drawing of end side to video file, just can realize the sectional drawing of terminal to video file without the need to manual operation, greatly save human resources; And without the need to performing video interception logic by server end, avoiding and carrying out by server end the time delay that video interception brings, improving the experience of user.
Embodiment three
The embodiment of the present invention additionally provides a kind of information processing method; In the present embodiment, video file is far-end file mode, and namely video file is stored on far-end server, and the form of described video file is HLS form; Fig. 4 is the schematic flow sheet of the information processing method of the embodiment of the present invention three; As shown in Figure 4, described method comprises:
Step 301: analyze the URL of video file, determines that the type of described video file is HLS, downloads described video file; Wherein, described video file stores with the form of video file burst.
Here, described video file is stored on far-end server, and described video file has network reference address, and terminal accesses described video file by described network reference address; Concrete, described network reference address represents by URL; Such as: the URL of described video file can be: http://video.qq.com/12333/2222/1.m3u8; The URL of terminal to described video file analyzes, the form of described video file can be determined according to the suffix of the reference address of described video file, the suffix of the video file of far-end document form is as shown in this embodiment " .m3u8 ", and being defined as described video file is HLS video file.
In the present embodiment, described in described terminal downloads during video file, first obtain the M3U8 index file of described video file, resolve described index file; Select the burst of described video file according to the subindex in described index file, and download the burst of described video file.
Step 302: the burst analyzing described video file, obtains the property parameters of the burst of described video file.
Here, the property parameters of the burst of described video file comprises the duration of described video file; The then burst of the described video file of described analysis, obtain the property parameters of the burst of described video file, comprise: the burst analyzing described video file, obtain the information such as the size of the burst of described video file, encoding rate, according to size and the encoding rate of the burst of described video file, determine the duration of the burst of described video file, namely obtain the property parameters of the burst of described video file.
Step 303: according to the start time of the property parameters determination sectional drawing of the burst of described video file.
Here, the start time of the property parameters determination sectional drawing of the described burst according to described video file, comprising:
The type of described video file is determined, according to the start time of the default empirical value determination sectional drawing of often kind of video file according to total duration of the burst of described video file.
Concrete, according to the duration of described video file, described video file can be divided into three kinds: short-sighted frequency, collection of drama type video and film types video; Wherein, the video file that duration is less than 20 minutes can be defined as short-sighted frequency; The video file of duration between 20 minutes to 60 minutes can be defined as collection of drama type video; The video file of duration more than 100 minutes can be defined as film types video.Then respectively according to the head length of short-sighted frequency, collection of drama type video and film types video and the empirical value of Ad Length, can determine the described start time, the start time as short-sighted frequency can be defined as locating for 15 seconds of initial time; The start time of collection of drama type video can be defined as 120 seconds places of initial time; The start time of film types video can be defined as 180 seconds places of initial time.
In the present embodiment, because described video file is HLS file, the described video file of acquisition comprises multiple video file burst; Then when determining that current video slicing is the first paragraph video slicing of described video file, the described start time is determined according to the empirical value of above-mentioned head length and Ad Length; When determining that current video slicing is not the first paragraph video slicing of described video file, then the described start time is the initial time of described current video slicing.
Step 304: utilize FFMPEG to carry out sectional drawing to the burst of described video file based on the described start time, obtains Target Photo.
Step 305: judge whether described Target Photo meets pre-conditioned, when the result judged is as being, performs step 306; When the result judged is no, perform step 307.
Here, described Target Photo meets pre-conditioned, comprising:
Described Target Photo is generated gray scale picture by presetting conversion regime;
Determine the gray-scale value of each pixel in described gray scale picture;
By the quantity presetting statistical pixel point between gray area, when the quantity of the pixel when between arbitrary gray area and the ratio of all pixel quantity reach predetermined threshold value, determine that described Target Photo does not meet described pre-conditioned;
When the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
Concrete, the intensity value ranges in gray scale picture is 0 to 255; In the present embodiment, described intensity value ranges can be equally divided into 10 intervals, namely carry out gray-scale value statistics every 25.5 gray units; As intensity value ranges being equally divided into 10 intervals be: [0,25.5>, [25.5,51>, [51,76.5>, [76.5,102>, [102,127.5>, [127.5,153>, [153,178.5>, [178.5,204>, [204,229.5> and [229.5,255]; Wherein, " [" represents and is more than or equal to; "] " represent be less than or equal to; " > " represents and is less than; The quantity of statistical pixel point in above-mentioned ten gray value interval, and by the pixel quantity in above-mentioned ten gray value interval compared with all pixel quantity of described target image, obtain the pixel quantity of each gray value interval and the number percent of all pixel quantity, when the number percent of arbitrary gray value interval exceedes predetermined threshold value (described predetermined threshold value is as 50%), then described target image does not meet described pre-conditioned; When the number percent of all gray value interval is no more than described predetermined threshold value (described predetermined threshold value is as 50%), then described target image meets described pre-conditioned.
Step 306: preserve described Target Photo, sectional drawing terminates.
In the present embodiment, when described Target Photo meet described pre-conditioned time, illustrate that the content of described Target Photo is abundanter, excluding described Target Photo is the situations such as blank screen frame, dull image frame, is preserved by described Target Photo as video interception.
Step 307: the start time reselecting described video file, performs step 308 ~ step 309 further.
In the present embodiment, when described Target Photo do not meet described pre-conditioned time, then reselect the start time, namely re-execute step 308 ~ step 309; Wherein, reselect the start time described according to the start time determined for the first time, can postpone preset time period backward; The start time such as determined for the first time is that the 180th second of described video file is located, then the described start time reselected can be defined as locating for the 180th second+5 seconds (described 5 seconds is preset time period, is not limited to current value) of described video file.
The technical scheme that the present embodiment provides is applied to far-end file mode scene, and video file is HLS video file; When described HLS video file exists with local file pattern, without the need to downloading described video file, directly perform step 302 to step 307.
Adopt the technical scheme of the embodiment of the present invention, achieve the intelligent sectional drawing of end side to video file, just can realize the sectional drawing of terminal to video file without the need to manual operation, greatly save human resources; And without the need to performing video interception logic by server end, avoiding and carrying out by server end the time delay that video interception brings, improving the experience of user.
Embodiment four
The embodiment of the present invention additionally provides a kind of information processing method; In the present embodiment, video file is far-end file mode, and namely video file is stored on far-end server, and the form of described video file is HLS form; Fig. 5 is the schematic flow sheet of the information processing method of the embodiment of the present invention four; As shown in Figure 5, described method comprises:
Step 401: the first parameter is set; Described first parameter comprises: carry out the time interval of sectional drawing to described video file and described video file carried out to the time interval of sectional drawing.
Here, described the time interval of sectional drawing is carried out such as to described video file: the length of described video file is 50 minutes, and can arrange described time interval is the 3rd minute to the 45th minute; Described carried out such as the time interval of sectional drawing to described video file: sectional drawing x frame per second; X is positive integer; Certainly the time interval of the sectional drawing of above-mentioned setting and the time interval of sectional drawing is not limited to; Wherein, described first parameter pre-sets by terminal, also manually can be arranged by user before video interception.
Step 402: utilize described first predetermined manner to carry out sectional drawing to described video file based on the first parameter, obtains M frame Target Photo.
Step 403: judge whether described M frame Target Photo meets pre-conditioned, obtains judged result.
Step 404: when described judged result is, when having N frame Target Photo to meet pre-conditioned in described M frame Target Photo, preserve described N frame Target Photo.
In the present embodiment, the implementation method of the acquisition of described M frame Target Photo and the preservation of described N frame Target Photo is identical to step 105 with the step 103 in embodiment one, repeats no more here; Unlike, based on the time interval of the described sectional drawing arranged in the present embodiment, in the time interval of the described sectional drawing arranged, obtain M frame Target Photo, and preservation meets described pre-conditioned N frame Target Photo.
Step 405: described N frame Target Photo is generated dynamic picture by the second predetermined manner.
Here, N frame Target Photo is generated GIF(Graphic Interchange format) (GIF, GraphicInterchangeFormat) dynamic picture by the picture processing instrument (as PHOTOSHOP) by presetting.
Adopt the technical scheme of the embodiment of the present invention, achieve the intelligent sectional drawing of end side to video file, and generate dynamic picture based on intelligent sectional drawing, without the need to manual operation, greatly save human resources; And without the need to performing video interception logic by server end, avoiding and carrying out by server end the time delay that video interception brings, improving the experience of user.
Here it is to be noted: the description of following terminal entry, it is similar for describing with said method, and the beneficial effect with method describes, and does not repeat.For the ins and outs do not disclosed in terminal embodiment of the present invention, please refer to the description of the inventive method embodiment.
Embodiment five
The embodiment of the present invention additionally provides a kind of terminal; Fig. 6 is the first composition structural representation of the terminal of the embodiment of the present invention; As shown in Figure 6, described terminal comprises: acquiring unit 61, sectional drawing unit 62, identifying unit 63 and storage unit 64; Wherein,
Described acquiring unit 61, for obtaining and analyzing video file, obtains the property parameters of described video file;
Described sectional drawing unit 62, for the start time of the property parameters determination sectional drawing of the described video file according to described acquiring unit 61 acquisition; Utilize the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtain Target Photo;
Described identifying unit 63, for judging whether the Target Photo that described sectional drawing unit 62 obtains meets pre-conditioned;
Described storage unit 64, for when described identifying unit 63 determines that described Target Photo meets pre-conditioned, preserves described Target Photo.
Concrete, described identifying unit 63, for generating gray scale picture by described Target Photo by presetting conversion regime; Determine the gray-scale value of each pixel in described gray scale picture; By the quantity presetting statistical pixel point between gray area, when the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
Concrete, the property parameters of described video file is the duration of described video file;
Then described sectional drawing unit 62, for determining the type of described video file according to the duration of described video file, according to the start time of the default empirical value determination sectional drawing of often kind of video file.
Wherein, described video file is MP4 file or Streaming Media HLS file.
Those skilled in the art are to be understood that, the function of each processing unit in the terminal of the embodiment of the present invention, can refer to the associated description of aforementioned information disposal route and understand, each processing unit in the terminal of the embodiment of the present invention, realizing by realizing the mimic channel of the function described in the embodiment of the present invention, also can be realized by the operation of the software of the function of execution described in the embodiment of the present invention on intelligent terminal.
Embodiment six
The embodiment of the present invention additionally provides a kind of terminal; Fig. 7 is the second composition structural representation of the terminal of the embodiment of the present invention; As shown in Figure 7, described terminal comprises: acquiring unit 61, sectional drawing unit 62, identifying unit 63, storage unit 64 and setting unit 65; Wherein,
Described acquiring unit 61, for obtaining and analyzing video file, obtains the property parameters of described video file;
Described setting unit 65, utilizes before the first predetermined manner carries out sectional drawing to described video file for described sectional drawing unit 62 based on the described start time, arranges the first parameter; Described first parameter comprises: carry out the time interval of sectional drawing to described video file and described video file carried out to the time interval of sectional drawing;
Described sectional drawing unit 62, for the start time of the property parameters determination sectional drawing of the described video file according to described acquiring unit 61 acquisition; The described time interval arranged based on described setting unit 65 and described start time, in described time interval, utilize described first predetermined manner to carry out sectional drawing to described video file, obtain M frame Target Photo; M is positive integer;
Described identifying unit 63, for judging whether the M frame Target Photo that described sectional drawing unit 62 obtains meets pre-conditioned, obtains judged result;
Described storage unit 64, for when the judged result that described identifying unit 63 obtains be N frame Target Photo meet pre-conditioned time, preserve described N frame Target Photo; Wherein, described N frame Target Photo is meet described pre-conditioned Target Photo in described M frame Target Photo.
Concrete, described identifying unit 63, for generating gray scale picture by described Target Photo by presetting conversion regime; Determine the gray-scale value of each pixel in described gray scale picture; By the quantity presetting statistical pixel point between gray area, when the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
Concrete, the property parameters of described video file is the duration of described video file;
Then described sectional drawing unit 62, for determining the type of described video file according to the duration of described video file, according to the start time of the default empirical value determination sectional drawing of often kind of video file.
Wherein, described video file is MP4 file or Streaming Media HLS file.
Those skilled in the art are to be understood that, the function of each processing unit in the terminal of the embodiment of the present invention, can refer to the associated description of aforementioned information disposal route and understand, each processing unit in the terminal of the embodiment of the present invention, realizing by realizing the mimic channel of the function described in the embodiment of the present invention, also can be realized by the operation of the software of the function of execution described in the embodiment of the present invention on intelligent terminal.
Embodiment seven
The embodiment of the present invention additionally provides a kind of terminal; Fig. 8 is the third composition structural representation of the terminal of the embodiment of the present invention; As shown in Figure 8, described terminal comprises: acquiring unit 61, sectional drawing unit 62, identifying unit 63, storage unit 64, setting unit 65 and generation unit 66; Wherein,
Described acquiring unit 61, for obtaining and analyzing video file, obtains the property parameters of described video file;
Described setting unit 65, utilizes before the first predetermined manner carries out sectional drawing to described video file for described sectional drawing unit 62 based on the described start time, arranges the first parameter; Described first parameter comprises: carry out the time interval of sectional drawing to described video file and described video file carried out to the time interval of sectional drawing;
Described sectional drawing unit 62, for the start time of the property parameters determination sectional drawing of the described video file according to described acquiring unit 61 acquisition; The described time interval arranged based on described setting unit 65 and described start time, in described time interval, utilize described first predetermined manner to carry out sectional drawing to described video file, obtain M frame Target Photo; M is positive integer;
Described identifying unit 63, for judging whether the M frame Target Photo that described sectional drawing unit 62 obtains meets pre-conditioned, obtains judged result;
Described storage unit 64, for when the judged result that described identifying unit 63 obtains be N frame Target Photo meet pre-conditioned time, preserve described N frame Target Photo; Wherein, described N frame Target Photo is meet described pre-conditioned Target Photo in described M frame Target Photo;
Described generation unit 66, generates dynamic picture for the described N frame Target Photo described storage unit 64 stored by the second predetermined manner.
Concrete, described identifying unit 63, for generating gray scale picture by described Target Photo by presetting conversion regime; Determine the gray-scale value of each pixel in described gray scale picture; By the quantity presetting statistical pixel point between gray area, when the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
Concrete, the property parameters of described video file is the duration of described video file;
Then described sectional drawing unit 62, for determining the type of described video file according to the duration of described video file, according to the start time of the default empirical value determination sectional drawing of often kind of video file.
Wherein, described video file is MP4 file or Streaming Media HLS file.
Those skilled in the art are to be understood that, the function of each processing unit in the terminal of the embodiment of the present invention, can refer to the associated description of aforementioned information disposal route and understand, each processing unit in the terminal of the embodiment of the present invention, realizing by realizing the mimic channel of the function described in the embodiment of the present invention, also can be realized by the operation of the software of the function of execution described in the embodiment of the present invention on intelligent terminal.
In embodiment five and embodiment seven, described terminal in actual applications, can be realized by terminal devices such as computer, panel computer or smart mobile phones; Acquiring unit 61 in described terminal, sectional drawing unit 62, identifying unit 63, setting unit 65 and generation unit 66, in actual applications all can by the central processing unit (CPU in terminal, CentralProcessingUnit), digital signal processor (DSP, DigitalSignalProcessor) or programmable gate array (FPGA, Field-ProgrammableGateArray) realize; Storage unit 64 in described terminal, in actual applications, can be realized by the storer of described terminal.
In several embodiments that the application provides, should be understood that disclosed equipment and method can realize by another way.Apparatus embodiments described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, and as: multiple unit or assembly can be in conjunction with, maybe can be integrated into another system, or some features can be ignored, or do not perform.In addition, the coupling each other of shown or discussed each ingredient or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of equipment or unit or communication connection can be electrical, machinery or other form.
The above-mentioned unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, also can be distributed in multiple network element; Part or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in various embodiments of the present invention can all be integrated in a processing unit, also can be each unit individually as a unit, also can two or more unit in a unit integrated; Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form that hardware also can be adopted to add SFU software functional unit realizes.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can have been come by the hardware that programmed instruction is relevant, aforesaid program can be stored in a computer read/write memory medium, this program, when performing, performs the step comprising said method embodiment; And aforesaid storage medium comprises: movable storage device, ROM (read-only memory) (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), magnetic disc or CD etc. various can be program code stored medium.
Or, if the above-mentioned integrated unit of the present invention using the form of software function module realize and as independently production marketing or use time, also can be stored in a computer read/write memory medium.Based on such understanding, the technical scheme of the embodiment of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product is stored in a storage medium, comprises some instructions and performs all or part of of method described in each embodiment of the present invention in order to make a computer equipment (can be personal computer, server or the network equipment etc.).And aforesaid storage medium comprises: movable storage device, ROM, RAM, magnetic disc or CD etc. various can be program code stored medium.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of described claim.
Claims (14)
1. an information processing method, is characterized in that, described method comprises:
Obtain and analyze video file, obtaining the property parameters of described video file;
According to the start time of the property parameters determination sectional drawing of described video file;
Utilize the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtain Target Photo;
Judge whether described Target Photo meets pre-conditioned, when described Target Photo meets pre-conditioned, preserve described Target Photo.
2. method according to claim 1, is characterized in that, described Target Photo meets pre-conditioned, comprising:
Described Target Photo is generated gray scale picture by presetting conversion regime;
Determine the gray-scale value of each pixel in described gray scale picture;
By the quantity presetting statistical pixel point between gray area,
When the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
3. method according to claim 1, is characterized in that, describedly utilizes before the first predetermined manner carries out sectional drawing to described video file based on the described start time, and described method also comprises:
First parameter is set; Described first parameter comprises: carry out the time interval of sectional drawing to described video file and described video file carried out to the time interval of sectional drawing.
4. method according to claim 3, is characterized in that, describedly utilizes the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtains Target Photo, comprising:
Based on the described time interval and described start time, in described time interval, utilize described first predetermined manner to carry out sectional drawing to described video file, obtain M frame Target Photo; M is positive integer;
Accordingly, the described Target Photo of described preservation, comprising:
Preserve N frame Target Photo; N is positive integer; Wherein, described N frame Target Photo is meet described pre-conditioned Target Photo in described M frame Target Photo.
5. method according to claim 4, is characterized in that, described method also comprises: described N frame Target Photo is generated dynamic picture by the second predetermined manner.
6. method according to claim 1, is characterized in that, the property parameters of described video file is the duration of described video file;
The start time of the described property parameters determination sectional drawing according to described video file, comprising:
The type of described video file is determined, according to the start time of the default empirical value determination sectional drawing of often kind of video file according to the duration of described video file.
7. the method according to any one of claim 1 to 6, is characterized in that, described video file is MP4 file or Streaming Media HLS file.
8. a terminal, is characterized in that, described terminal comprises: acquiring unit, sectional drawing unit, identifying unit and storage unit; Wherein,
Described acquiring unit, for obtaining and analyzing video file, obtains the property parameters of described video file;
Described sectional drawing unit, for the start time of the property parameters determination sectional drawing of described video file obtained according to described acquiring unit; Utilize the first predetermined manner to carry out sectional drawing to described video file based on the described start time, obtain Target Photo;
Described identifying unit, for judging whether the Target Photo that described sectional drawing unit obtains meets pre-conditioned;
Described storage unit, for when described identifying unit determines that described Target Photo meets pre-conditioned, preserves described Target Photo.
9. terminal according to claim 8, is characterized in that, described identifying unit, for described Target Photo is generated gray scale picture by presetting conversion regime; Determine the gray-scale value of each pixel in described gray scale picture; By the quantity presetting statistical pixel point between gray area, when the quantity of the pixel when between all gray areas and the ratio of all pixel quantity all do not reach described predetermined threshold value, determine that described Target Photo meets described pre-conditioned.
10. terminal according to claim 8, is characterized in that, described terminal also comprises setting unit, utilizes before the first predetermined manner carries out sectional drawing to described video file, arrange the first parameter for described sectional drawing unit based on the described start time; Described first parameter comprises: carry out the time interval of sectional drawing to described video file and described video file carried out to the time interval of sectional drawing.
11. terminals according to claim 10, it is characterized in that, described sectional drawing unit, for described time interval of arranging based on described setting unit and described start time, in described time interval, utilize described first predetermined manner to carry out sectional drawing to described video file, obtain M frame Target Photo; M is positive integer;
Accordingly, described identifying unit, for judging whether the M frame Target Photo that described sectional drawing unit obtains meets pre-conditioned, obtains judged result;
Described storage unit, for when the judged result that described identifying unit obtains be N frame Target Photo meet pre-conditioned time, preserve described N frame Target Photo; Wherein, described N frame Target Photo is meet described pre-conditioned Target Photo in described M frame Target Photo.
12. terminals according to claim 11, is characterized in that, described terminal also comprises generation unit, for the described N frame Target Photo of described cell stores is generated dynamic picture by the second predetermined manner.
13. terminals according to claim 8, is characterized in that, the property parameters of described video file is the duration of described video file;
Then described sectional drawing unit, for determining the type of described video file according to the duration of described video file, according to the start time of the default empirical value determination sectional drawing of often kind of video file.
Terminal described in 14. any one of according to Claim 8 to 13, it is characterized in that, described video file is MP4 file or Streaming Media HLS file.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106101868A (en) * | 2016-07-18 | 2016-11-09 | 乐视控股（北京）有限公司 | Reduced graph generating method and generating means |
| CN106412674A (en) * | 2016-10-08 | 2017-02-15 | 广州华多网络科技有限公司 | Screenshot method and device for dynamic video |
| CN106604126A (en) * | 2016-12-20 | 2017-04-26 | 天脉聚源(北京)传媒科技有限公司 | Intelligent video screenshot capture method and device |
| CN107172482A (en) * | 2017-03-31 | 2017-09-15 | 北京奇艺世纪科技有限公司 | The generation method and device of graphic interchange format picture |
| CN108377429A (en) * | 2018-04-24 | 2018-08-07 | 中国广播电视网络有限公司 | A kind of demolition of video flowing and take out frame method |
| CN108810609A (en) * | 2017-04-27 | 2018-11-13 | 深圳市优朋普乐传媒发展有限公司 | A kind of memory management method, equipment and system |
| CN110460894A (en) * | 2019-06-25 | 2019-11-15 | 维沃移动通信有限公司 | A kind of video image display method and terminal device |
| CN115082441A (en) * | 2022-07-22 | 2022-09-20 | 山东微山湖酒业有限公司 | Retort material tiling method in wine brewing distillation process based on computer vision |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1361630A (en) * | 2002-01-25 | 2002-07-31 | 安凯（广州）软件技术有限公司 | Cartoon compressing method for radio network and hand-held radio equipment |
| CN101075258A (en) * | 2007-05-14 | 2007-11-21 | 腾讯科技（深圳）有限公司 | Method and device for generating video microform |
| CN101527690A (en) * | 2009-04-13 | 2009-09-09 | 腾讯科技（北京）有限公司 | Method for intercepting dynamic image, system and device thereof |
| US20100208986A1 (en) * | 2009-02-18 | 2010-08-19 | Wesley Kenneth Cobb | Adaptive update of background pixel thresholds using sudden illumination change detection |
| CN103001925A (en) * | 2011-09-08 | 2013-03-27 | 百度在线网络技术（北京）有限公司 | Method and equipment for confirming playing skipping information of multimedia data on basis of statistics |
| CN103606158A (en) * | 2013-11-29 | 2014-02-26 | 深圳市龙视传媒有限公司 | Preprocessing method and terminal for video clipping |
-
2014
- 2014-09-11 CN CN201410461497.7A patent/CN105469381B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1361630A (en) * | 2002-01-25 | 2002-07-31 | 安凯（广州）软件技术有限公司 | Cartoon compressing method for radio network and hand-held radio equipment |
| CN101075258A (en) * | 2007-05-14 | 2007-11-21 | 腾讯科技（深圳）有限公司 | Method and device for generating video microform |
| US20100208986A1 (en) * | 2009-02-18 | 2010-08-19 | Wesley Kenneth Cobb | Adaptive update of background pixel thresholds using sudden illumination change detection |
| CN101527690A (en) * | 2009-04-13 | 2009-09-09 | 腾讯科技（北京）有限公司 | Method for intercepting dynamic image, system and device thereof |
| CN103001925A (en) * | 2011-09-08 | 2013-03-27 | 百度在线网络技术（北京）有限公司 | Method and equipment for confirming playing skipping information of multimedia data on basis of statistics |
| CN103606158A (en) * | 2013-11-29 | 2014-02-26 | 深圳市龙视传媒有限公司 | Preprocessing method and terminal for video clipping |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106101868A (en) * | 2016-07-18 | 2016-11-09 | 乐视控股（北京）有限公司 | Reduced graph generating method and generating means |
| CN106412674A (en) * | 2016-10-08 | 2017-02-15 | 广州华多网络科技有限公司 | Screenshot method and device for dynamic video |
| CN106412674B (en) * | 2016-10-08 | 2019-04-23 | 广州华多网络科技有限公司 | The screenshot method and its device of dynamic video |
| CN106604126A (en) * | 2016-12-20 | 2017-04-26 | 天脉聚源(北京)传媒科技有限公司 | Intelligent video screenshot capture method and device |
| CN107172482A (en) * | 2017-03-31 | 2017-09-15 | 北京奇艺世纪科技有限公司 | The generation method and device of graphic interchange format picture |
| CN108810609A (en) * | 2017-04-27 | 2018-11-13 | 深圳市优朋普乐传媒发展有限公司 | A kind of memory management method, equipment and system |
| CN108377429A (en) * | 2018-04-24 | 2018-08-07 | 中国广播电视网络有限公司 | A kind of demolition of video flowing and take out frame method |
| CN110460894A (en) * | 2019-06-25 | 2019-11-15 | 维沃移动通信有限公司 | A kind of video image display method and terminal device |
| CN115082441A (en) * | 2022-07-22 | 2022-09-20 | 山东微山湖酒业有限公司 | Retort material tiling method in wine brewing distillation process based on computer vision |
| CN115082441B (en) * | 2022-07-22 | 2022-11-11 | 山东微山湖酒业有限公司 | Retort material tiling method in wine brewing distillation process based on computer vision |
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