CN108668170A - Image information processing method and device, storage medium - Google Patents
Image information processing method and device, storage medium Download PDFInfo
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- CN108668170A CN108668170A CN201810559284.6A CN201810559284A CN108668170A CN 108668170 A CN108668170 A CN 108668170A CN 201810559284 A CN201810559284 A CN 201810559284A CN 108668170 A CN108668170 A CN 108668170A
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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
- H04N21/4402—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 reformatting operations of video signals for household redistribution, storage or real-time display
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
Abstract
A kind of image information processing method of offer of the embodiment of the present invention and device, storage medium.Described image information processing method includes：Before play sequence frame animation, the image in the compressed file compressed with video compression technology is restored；Store described image；When playing the sequence frame animation, reads described image and described image is playd in order according to the broadcasting order of described image.
Description
Technical field
The present invention relates to information technology field more particularly to a kind of image information processing methods and device, storage medium.
Background technology
Sequence frame refers to the image sequence being sequentially made of several images；Sequence frame animation refers to sequentially playing sequence one by one
The play-back technology of each image in row frame.
The file of sequence frame animation generally includes multiple images.If directly transmitting this multiple image, caused number can be transmitted
Greatly according to amount, the problems such as transmission belt of occupancy is roomy.
In order to reduce data volume, transmitted again after being compressed to image.Receiving terminal receive compressed file it
Afterwards, it needs to unzip it before play sequence frame animation.It is found in actual application, it is sometimes dynamic in play sequence frame
It will appear the utilization rate of the processors such as central processing unit (Centre Process Unit, CPU) excessively high problem when picture, very
To causing certain threads stuck.
Invention content
In view of this, an embodiment of the present invention is intended to provide a kind of image information processing method and device, storage mediums.
The technical proposal of the invention is realized in this way：
In a first aspect, the embodiment of the present invention provides a kind of image information processing method, including：
Before play sequence frame animation, the image in the compressed file compressed with video compression technology is restored；
Store described image；
When playing the sequence frame animation, reads described image and institute is playd in order according to the broadcasting order of described image
State image.
Optionally, the method further includes：
If present load rate is less than default load factor, compression described image is to obtain compressed data；
The storage described image includes：
Store the compressed data.
Optionally, if the present load rate is less than default load factor, compression described image is to obtain compressed data, packet
It includes：
If the present load rate is less than the default load factor, JPEG compression technique compresses described image is utilized.
Optionally, described image is YUVA images, wherein the YUVA images include：Luminance Y component, U points of the first aberration
Amount, the second aberration V component and transparency A components, the first blank component and the second blank component；The data volume etc. of the Y-component
In the A components；The sum of data volume of the U components and the first blank component is equal to the data volume of the 1/2 A components；
The sum of data volume of the V component and the second blank component is equal to the data volume of the 1/2 A components.
Optionally, the storage described image, including：
Store the YUVA images；
Or,
Y-component, U components, V component and the A components of the YUVA images.
Optionally, the method further includes：
The YUVA images are converted into RGBA images, wherein the RGBA images include：G points of red R component, green
Amount, blue B component and transparency A components；
The storage described image includes：
Store the RGBA images；
Alternatively,
Store the compressed file of the RGBA images.
Second aspect, the embodiment of the present invention provide a kind of image information processing device, including：
Recovery module, for before play sequence frame animation, restoring in the compressed file compressed with video compression technology
Image；
Memory module, for storing described image；
Playing module, for when playing the sequence frame animation, reading described image and the broadcasting according to described image
Order plays in order described image.
Optionally, described device further includes：
Compression module, if being less than default load factor for present load rate, compression described image is to obtain compressed data；
The memory module is specifically used for storing the compressed data.
Optionally, the compression module utilizes if being less than the default load factor specifically for the present load rate
JPEG compression technique compresses described image.
Optionally, described image is YUVA images, wherein the YUVA images include：Luminance Y component, U points of the first aberration
Amount, the second aberration V component and transparency A components, the first blank component and the second blank component；The data volume etc. of the Y-component
In the A components；The sum of data volume of the U components and the first blank component is equal to the data volume of the 1/2 A components；
The sum of data volume of the V component and the second blank component is equal to the data volume of the 1/2 A components.
Optionally, the memory module is specifically used for storing the YUVA images；Or, the Y-component of the YUVA images, U
Component, V component and A components.
Optionally, described device further includes：
Conversion module, for the YUVA images to be converted into RGBA images, wherein the RGBA images include：Red R
Component, green G components, blue B component and transparency A components；
The memory module is specifically used for storing the RGBA images；Alternatively, storing the compression text of the RGBA images
Part.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, including：
Memory；
Processor is connect with the memory, and the computer for being located at by execution on the memory is executable to be referred to
It enables, can realize the image information processing method that aforementioned one or more technical solutions provide.
Fourth aspect, the embodiment of the present invention provide a kind of computer storage media, and the computer storage media is stored with
Computer executable instructions；It, being capable of aforementioned one or more technical solutions offers after the computer executable instructions are performed
Image information processing method.
5th aspect, the embodiment of the present invention provide a kind of computer program product, and the computer program product includes meter
Calculation machine executable instruction；After the computer executable instructions are performed, it can realize that aforementioned one or more technical solutions carry
The image information processing method of confession.
The embodiment of the present invention is provided in technical solution, if after receiving the compressed file of video format, can play sequence
The image that the compressed file swaps out in compressed file is just decompressed before row frame animation, in this way, video compression technology pressure will be passed through
After the compressed file of contracting decompresses in advance, the obtained image of decompression can be stored in particular memory section, it should playing
The image need to be only read before sequence frame animation from the particular memory section and is played.In this way, solving in play sequence
The excessively high problem of the load factor of the processors such as CPU caused by the front decompression of frame animation is restored and played, so as to cause because CPU's
Thread opens the problem of waiting indefinitely caused by resource anxiety, and to improve the fluency of sequence frame animation play, it is dynamic to improve sequence frame
Draw the result of broadcast played.
Description of the drawings
Fig. 1 is the flow diagram of the first image information processing method provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of second of image information processing method provided in an embodiment of the present invention；
Fig. 3 is a kind of equivalent schematic of each component of image provided in an embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of image information processing device provided in an embodiment of the present invention；
Fig. 5 is the flow diagram of the third image information processing method provided in an embodiment of the present invention；
Fig. 6 is the flow diagram of the 4th kind of image information processing method provided in an embodiment of the present invention；
Fig. 7 is the flow diagram of the 5th kind of image information processing method provided in an embodiment of the present invention；
Fig. 8 is the flow diagram of the 6th kind of image information processing method provided in an embodiment of the present invention；
Fig. 9 is the flow diagram of the 7th kind of image information processing method provided in an embodiment of the present invention；
Figure 10 is the flow diagram of the 8th kind of image information processing method provided in an embodiment of the present invention；
Figure 11 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific implementation mode
Technical scheme of the present invention is further elaborated below in conjunction with Figure of description and specific embodiment.
As shown in Figure 1, the present embodiment provides a kind of image information processing methods, including：
Step S110：Before play sequence frame animation, the figure in the compressed file compressed with video compression technology is restored
Picture；
Step S120；Store described image；
Step S130：When playing the sequence frame animation, described image and the broadcasting order according to described image are read
Play in order described image.
Method provided by the embodiment can be applied to solution pressure side, which can be the receiving terminal of the compressed file, but not
It is limited to receiving terminal, on other occasions, which can also be the compression end of the compressed file.
The compressed file can solve pressure side and voluntarily generate, and can also be to be received from compression end.The compression end is gone back simultaneously
Can be the transmitting terminal of compressed file, this method can be to provide the server or terminal device of described image information.The server
Can be to apply to the Cloud Server in network or server group.The terminal device can be various electronic equipments, for example, hand
Machine, wearable device, virtual reality device or augmented reality equipment etc..
The compressed file is that the compressed file to be formed is compressed with video compression technology in this embodiment.The video compress skill
Art includes at least：Inter-picture compression between different images can so be based on inter-picture compression, can delete figure as far as possible
The data content of same section as between, in the image to reach single compression can reduce data volume, promote compression efficiency.
On the other hand, which may also include：Compression in the image of single image.In this way, using video compression technology pressure
The compressed file of contracting has data volume few, and the storage resource of occupancy is few and transmits the few feature of the transfer resource of consumption.In this reality
It applies in example, the video compression technology may include Webn compressed files etc., and when specific implementation is not limited to webn pressure files.
When forming compressed file with video compress, the method further includes：
By generation compression sequence frame animation in each image, based on the similitude between image divide into key images and
Normal image other than key images is grouped compression, in this way, can include multiple compression groups in a compressed file, often
One compression group include a key images and with the good normal image of key images similitude, by packed compressed opposite
It is considered as a group in all images to be compressed, can be further reduced compressed based on the image similarity between group
Data volume.Therefore the compressed file includes：One or more compression group.
In the present embodiment, before play sequence frame animation, the reduction of image is just completed, in this way, without until broadcasting
Described image is restored when putting, the problem of the overload of the processors such as caused CPU.Especially when there are multiple sequence frame animations
When compressed file needs are extracted and are played, by restoring the YUVA images in advance, it can substantially reduce described in CPU broadcastings
Load capacity when sequence frame animation reduces the Caton phenomenon in playing process, promotes result of broadcast.
Described image is stored in the step s 120, it may include：The initial data of image is stored, which may include：
The pixel value of each pixel in image.The image can be various types of images, for example, RGB image；YUV image, RGBA images and
YUVA images etc..The RGB image includes：Red R component, green G components and blue B component.The RGBA images include：It is red
Color R component, green G components, blue B component and transparency A components；
Described image data can be the image data of the YUVA images in the present embodiment, can also be the RGBA figures
The image data of picture.The YUVA images include：Luminance Y component, the first aberration U components, the second aberration V component and transparency A
Component.Alternatively, the YUVA images include：A points of luminance Y component, the first aberration U components, the second aberration V component and transparency
Amount, the first blank component and the second blank component.The YUV image includes：Luminance Y component, the first aberration U components and the second color
Poor V component.
Herein, each component represents the data value (and can be referred to as component value) of pixel some dimension, this
A little component groups constitute pixel value.Can win in the step s 120 including：Store the corresponding component value of each component of the pixel.
Described image data may be present on the hard disk of the solution pressure side in the present embodiment, for example, there is the hard of solution pressure side
In the predetermined space of disk, in the step S130 when play sequence frame animation, directly broadcast after reading data from the predetermined space
It puts, does not need the also original image when playing.
Optionally, as shown in Fig. 2, the method further includes：
Step S111：If present load rate is less than default load factor, compression described image is to obtain compressed data；
The step S120 may include step S121：Store the compressed data.
The step S120 may include step S131：When playing the sequence frame animation, the compressed data is read simultaneously
It decompresses the compressed data and obtains image, and image is played according to the broadcasting order of described image.
The data volume for generating increasing later in embodiments of the present invention in order to reduce reduction is also wrapped before storing image
It includes：It is relatively low in the load factor of the processors such as CPU, for example, compressing image when less than the default load factor, obtain compression number
According to.The last compressed data stored in the step s 120, which can be compression in the image of single image, so follow-up
Required calculation amount is small when being reduced into image postpones small feature in time.And it can be very good using being compressed in the image of image
Data volume is reduced, to reduce the storage resource that storage image is consumed.Hard disk can be stored the image in the step s 120
On, in further embodiments, the step S120 may also include：Described image is stored on memory.If being stored in memory
On when then needing to play the sequence frame animation, the data are directly read from memory, are had the characteristics that efficient.
In some implementations, the default load factor can be the values such as 60%, 70% of the utilization rates of processors such as CPU,
Default load factor herein is only for example, and when specific implementation is not limited to these values.
In some embodiments, the method may include：The label information of the sequence frame animation frame is obtained, the label information
Can according to the sequence frame animation frequency of usage setting, if label information indicates that the sequence frame animation is that common sequence frame is dynamic
The compressed data or the data restored, can be stored directly on memory by picture or basic sequence frame animation.For example, being directed to one
The image processing application or Software Development Tools of a little interest and appeals, are usually provided with the sequence frame animation of some interest and appeals, have
Sequence frame animation is that the image processing application or the most basic sequence frame animation of Software Development Tools or user's frequency of usage are special
Not high sequence frame animation, in this way, the image processing application or Software Development Tools just read the data from hard disk when starting
It gets on memory.It to step S120 or is opened alternatively, executing step S110 when image processing application or Software Development Tools start
Step S110 to step S120 immediately after dynamic.In this way, the storage location of image can be hard disk at this time, it is preferably to be stored in memory
On.
The sequence frame animation is played in step s 130 to may include：
Operational order is detected, which may include：The user instruction received from man-machine interactive interface；
Described image is read out of hard disk and/or memory headroom and play in order described image based on the operational order,
To realize the broadcasting of sequence frame animation.
Optionally, if the present load rate is less than default load factor, compression described image is to obtain compressed data, packet
It includes：
If the present load rate is less than the default load factor, JPEG compression technique compresses described image is utilized.
It is compressed in the present embodiment using JPEG compression technology, jpeg image, jpeg image tool is obtained after compression
Have the characteristics that image quality loss is small and decrement is big.
Optionally, as shown in figure 3, described image is YUVA images, wherein the YUVA images include：Luminance Y component,
First aberration U components, the second aberration V component and transparency A components, the first blank component and the second blank component；The Y-component
Data volume be equal to the A components；The sum of data volume of the U components and the first blank component is equal to the 1/2 A components
Data volume；The sum of data volume of the V component and the second blank component is equal to the data volume of the 1/2 A components.It is one
One effect diagram of each component of a YUVA images, when specific implementation there are many kinds of, be not limited to above-mentioned arbitrary
It is a kind of.
The YUVA images are a kind of completely new images in the present embodiment, and the YUVA images are in addition to including original Y points
Amount, U components, V component also introduce A components and the first blank component and the second blank component.
The Y-component and the A components may include in the present embodiment：The component value of W*H pixel, the W are one
The columns of pixel in the YUVA images；The H is the line number of pixel in a YUVA image.For example, the Y-component can
Including：The brightness value of W*H pixel；The A components may include：The transparence value of W*H pixel.
In the present embodiment, the U components and V component include：The chromatic value of W*1/2H pixel.Certain the U points
Amount number of lines of pixels corresponding with V component is different.
The Y-component and the A components may include in the present embodiment：The component value of W*H pixel, the W are one
The columns of pixel in the YUVA images；The H is the line number of pixel in a YUVA image.For example, the Y-component can
Including：The brightness value of W*H pixel；The A components may include：The transparence value of W*H pixel.
In the present embodiment, the U components and V component include：The chromatic value of W*H/4 pixel.Certain U components
Number of lines of pixels corresponding with V component is different.
When performing image processing, the Y-component and the A components are incited somebody to action, one-component one first passage of ownership, such as
This, the corresponding data volume of the first passage is：The component value of W*H pixel.
The U components and V component can be considered the component of second channel, if the second channel only includes that U components and Y-component are aobvious
The corresponding data volume in this channel can be so caused to be：The component value of W*H/2 pixel is less than the data volume of first passage, so
Can image playback error be led to due to the mismatch of the data volume of first passage and second channel when carrying out image shows.Therefore
The first blank component and the second blank component are also introduced in the present embodiment；The first blank component and the second blank component are equal
It can be the component that value is " 0 ".The sum of the U components and the data volume of the first blank component are point of W*H/2 pixel
Magnitude；The sum of data volume of the V component and the second blank component is the component value of W*H/2 pixel.In this way, U components,
The sum of V component, the first blank component and second blank component are equal to the component value of W*H pixel.If at this point, point of second channel
Amount includes U components, V component, the first blank component and the second blank component, just solves first passage and second channel includes
Image caused by data volume difference broadcasts the problem of mistake.In this way, a YUVA image may include not only luminance component and color
Spend component, while containing transparency component, can directly be exported if showing the YUVA images such as decoding one carry it is transparent
The image of degree, without that an additional gray level image may be needed to embody transparency as the prior art, to reduce
Amount of images, and reduce because of the data volume that amount of images generates.
In this way, the step S120 may include in some embodiments：Store the YUVA images；
In further embodiments, the step S120 may include：The Y-components of the YUVA images, U components, V component and
A components.Due to the first blank component and the component value all same of each corresponding pixel of the second blank component, example
Such as, it is " 0 ", therefore the component value without individually storing the blank component of each pixel, can so be further reduced needs
The data volume to be stored, to reduce the consumption of memory space.The Y according to storage is needed when in this way, subsequently showing YUVA images
Component, U components, V component and the corresponding number of pixels of A components, polishing the first blank component and the second blank component, in conjunction with Y
Component, U components, V component and A components, the first blank component and the second blank component are dynamic to carry out the sequence frame in step S130
The broadcasting of picture.
Optionally, the method further includes：
The YUVA images are converted into RGBA images, wherein the RGBA images include：G points of red R component, green
Amount, blue B component and transparency A components；
The step S120 may include：Store the RGBA images；Alternatively, storing the compressed file of the RGBA images.
The YUVA images are converted to RGBA images in the present embodiment, and image processor can be facilitated to be based on RGB tri-
Color component is quickly shown, therefore the method further includes in the present embodiment：YUVA images are converted into RGBA images, such as
This, can be into one if having fulfiled conversion ahead of schedule if the broadcasting device such as display is shown based on tri- color components of RGB
Step accelerates subsequent broadcasting, reduces the excessively high problem of the utilization rate of the CPU generated when play sequence frame animation.
In some embodiments, the method further includes：
The label information or playback terminal (solving pressure side) that reception server is sent are according to itself playing animation sequence frame
The frequency of animation determines basic sequence frame animation or common sequence frame animation, and generates corresponding label information；The label is believed
Breath can be to be determined according to the frequency of usage to different sequence frame animations；
Image processing application on startup or upon actuation, according to the label information before play sequence frame animation
Restore the image of basic sequence frame animation or common sequence frame animation.In further embodiments, the method further includes：By institute
Image storage is stated in a hard disk or in memory.
In this way, the playback terminal or server can dynamically determine basic sequence frame animation or common sequence frame
Animation.
As shown in figure 4, the present embodiment provides a kind of image information processing devices, including：
Recovery module 110, for before play sequence frame animation, restoring the compressed file compressed with video compression technology
In image；
Memory module 120, for storing described image；
Playing module 130, for when playing the sequence frame animation, reading described image and broadcasting according to described image
It puts order and plays in order described image.
The recovery module 110, memory module 120 and playing module 130 may both correspond to program module, the program module
It can receive the image of the compressed file, reduction sequence frame animation, and play sequence frame animation after being executed by processor.
Optionally, described device further includes：
Compression module, if being less than default load factor for present load rate, compression described image is to obtain compressed data；
The memory module 120 is specifically used for storing the compressed data.
Compression in the image of single image may be used in the compression module, individual figure can be reduced by being compressed in image
The data volume of picture, but while restoring the single image of compression simultaneously have the characteristics that decompression is fireballing.
The compressed data that memory module 120 in the present embodiment directly stores, the data volume of compressed data is relative to list
The small feature of the data volume of the image data of image is opened, therefore the feature that the storage resource occupied is few.
Optionally, the compression module utilizes if being less than the default load factor specifically for the present load rate
JPEG compression technique compresses described image.
Default load factor herein can be the values such as 60%, 70% of the utilization rates of processors such as CPU, preset negative herein
Load rate is only for example, and when specific implementation is not limited to these values.
By the image of JPEG compression technique compresses, have the characteristics that image quality loss is small and compression ratio is high, to one
Aspect maintains picture quality, on the other hand reduces the small feature of the memory space of storage unit occupancy.
Optionally, described image is YUVA images, wherein the YUVA images include：Luminance Y component, U points of the first aberration
Amount, the second aberration V component and transparency A components, the first blank component and the second blank component；The data volume etc. of the Y-component
In the A components；The sum of data volume of the U components and the first blank component is equal to the data volume of the 1/2 A components；
The sum of data volume of the V component and the second blank component is equal to the data volume of the 1/2 A components.
In further embodiments, the memory module 120 is specifically used for storing the YUVA images；Or, described
Y-component, U components, V component and the A components of YUVA images.
In addition, described device further includes：
Conversion module, for the YUVA images to be converted into RGBA images, wherein the RGBA images include：Red R
Component, green G components, blue B component and transparency A components；
The memory module 120, also particularly useful for the storage RGBA images；Alternatively, storing the pressure of the RGBA images
Contracting file.
As shown in figure 5, the embodiment of the present invention also provides a kind of image information processing method, including：
Step S210：Determine the key images in image to be compressed and the normal image other than the key images；Its
In, described image includes：Luminance Y component, the first aberration U components, the second aberration V component and transparency A components, the first blank point
Amount and the second blank component；The data volume of the Y-component is equal to the A components；The U components and the first blank component
The sum of data volume is equal to the data volume of the 1/2 A components；The sum of data volume of the V component and the second blank component etc.
In the data volume of the 1/2 A components；
Step S220：According to key images and the normal image, described image is carried out described in video compress and acquisition
The compressed file of image.The compressed file can be the compressed file of foregoing sequences frame animation.
It can be applied in compression end in the image information processing method that some embodiments provide, which can also be simultaneously
Transmitting terminal, this method can be to provide the server or terminal device of described image information.The server can be to apply to network
In Cloud Server or server group.The terminal device can be various electronic equipments, for example, mobile phone, wearable device, void
Quasi- real world devices or augmented reality equipment etc..
Image to be compressed can be multiple independent images with content relevance in step S210.In this embodiment
Since there is image content relevance, this content relevance can be embodied in：There is phase between two images of front and back broadcasting
Like property, this similitude can describe similarity degree with similarity or diversity factor.It is needed in this embodiment using this similitude
Video compress is carried out, in this way, being that video compresses by multiple independent converting of image file, video compress skill can be utilized
Art reduces data volume as far as possible, and to reach, to store storage resource needed for the compressed file few and transmit the compressed file and disappeared
The feature that the flow of consumption is small and occupied bandwidth is small.
Video compression technology is utilized in the present embodiment, on the one hand, the inter-picture compression between adjacent image may be implemented,
For example, in this way, the redundant data removal of the same section between image may be implemented.At the same time, it determines and closes in this embodiment
Key image and normal image, the normal image are an image other than the key images；Key images herein can be
The diversity factor of previous image is more than the image of preset value, for example, the diversity factor between s+1 image and s-th of image is more than
Preset value (i.e. similarity is less than particular value), then it is believed that the s+1 image is key images；Difference between key images
Degree can be referred to as the normal image of the key images less than the image of preset value.In the present embodiment by key images and commonly
On the other hand multiple images can be divided into multigroup image to be compressed by the differentiation of image according to similarity；Relative to will own
Image is considered as the data compression of one group of carry out same section, so realizes the maximum of the redundant data removal of each group
Change；In this way, not only data volume compression can be carried out with inter-picture compression, at the same time pass through key images and the area of normal image
Point, the compression efficiency of inter-picture compression can be promoted as far as possible.
Optionally, as shown in fig. 6, the step S210 may include：
Step S211：It determines and calculates component, wherein the calculating component is：The Y-component, the V component and the U
One or more of component, alternatively, the calculating component is：The conversion of the Y-component, the V component and the U components point
One or more of amount；
Step S212：Difference Calculation weights are determined according to the A components；
Step S213：Color difference components and the calculating weights based on extraction obtain the n-th calculated value of n-th of described image
And the (n+1)th calculated value of (n+1)th described image, wherein the n is positive integer；
Step S214：Difference Calculation is carried out to n-th calculated value and (n+1)th calculated value；
Step S215：Key images and the normal image are determined according to the result of the Difference Calculation.
It can determine whether to calculate component first in the present embodiment, which can be Y-component, U components and V points in image
One or more of amount；Can also be one or more of the transform components in the Y-component, U components and V component, it should
Transform components can be and one or more of R component, B component and the G components in the Y-component, U components and V component.
For the channel of m bit, if the value of A components, which is " 0 ", indicates all-transparent；If value is " 2m- 1 " it indicates
It is opaque；If value arrives " 2 in " 0 "m- 1 " it is indicated between translucent.For example, for the channel of 8 bits, if A components take
Value is that " 0 " indicates all-transparent；If value, which is " 255 ", indicates opaque；If value indicates translucent in " 0 " between " 255 ".
I.e. it is worth noting that, introducing the A components in the embodiment of the present invention to determine weights, due to depositing for A components
For the channel of 8 bits, if indicating all-transparent when component value " 0 " of A components, corresponding pixel is coloured at this time
Coloured silk there will not be and the color is presented, therefore Difference Calculation weights are arranged based on A components in the present embodiment, in this way, A can be combined
Component determines that two images finally are presented to the effect level calculating similarity or diversity factor of user to the image of color component,
To carry out the difference of image as far as possible.
If only select one-component in the present embodiment as component is calculated, the Y-component can be selected；Y-component phase
For U components and/or V component can be more careful characterization image the characteristics of, if Y-component is selected to calculate component as single
The characteristics of talking about, can accurately reacting image, and participate in calculating due to only introducing one-component, it is possible to reduce calculation amount, especially
It is the calculating for including a large amount of pixel, and calculation amount greatly saves.
In some embodiments, one in selecting image data or it is multiple as the calculating component when, can be with
Substantially estimating for diversity factor is carried out to two images.For example, estimating difference by down-sampled or predictive algorithm two images of acquisition
It is different.The difference of estimating may include：Estimate at least one of transparency difference and heterochromia.For example, it is described it is down-sampled can
Including：1/2 sampling, 1/5 sampling or 1/10 sampling are carried out to each component value of pixel.The predictive algorithm may include：
Value-based algorithm, median algorithm and extreme value algorithm.
For example, the method may include：
The transparency difference between image is obtained, if transparency diversity factor is more than transparency discrepancy threshold, needs to select
More than one component is as the calculating component.
In some embodiments, before the heterochromia for determining two images, A points of two images can first be matched
Amount is more than transparency discrepancy threshold according to the transparency difference of the A components of two images, is then fair to consider that two images extremely
It is few that there are one can be that key images are carrying out if the transparency discrepancy threshold of two image A components is less than transparency discrepancy threshold
The comparison of two heterochromias.If the A components of two images are different, the transparent region that may be presented to user is different, is in
Existing difference on effect is very big, thus in the present embodiment can be preferentially based on A components comparison, be one image data of selection to determine
In one-component or multiple components carry out the differentiation of subsequent key images frame and normal image, in this way, can be greatly
Reduce calculation amount.
It is described estimate transparency difference and be more than estimate transparency discrepancy threshold and may include at least one of：
If two image overlappings, the distance between all-transparent region of two images is more than pre-determined distance；
If the overlapping of two images, be spaced between the all-transparent region of two images one it is at least one translucent or impermeable
Bright image region.
A components are quickly compared in order to realize, it can be by down-sampled mode from each image region of two kinds of images
The A of extraction section pixel is compared for representative, to estimate the transparency difference between two images.
Certainly in further embodiments, the heterochromia degree of two images can be first compared to obtain and described estimates color
Color difference, if estimating, heterochromia is small, just estimates transparency diversity factor according to what the A components determined two images.
In some embodiments, the method further includes：
If the transparency difference of estimating between described image is less than the transparent discrepancy threshold, enters and schemed based on two
The heterochromia of estimating of picture selects the step of one or more components are as component is calculated.
The heterochromia based on two images selects one or more components as calculating component, it may include：
Heterochromia is estimated between acquisition image, two can be selected if estimating heterochromia and being more than heterochromia threshold value
A component or three components participate in Difference Calculation as component is calculated；One point can be only selected if being less than heterochromia threshold value
Amount carries out Difference Calculation as component is calculated.Image herein can be image or the corresponding RGBA images of image etc.
It is determined here that the heterochromia of estimating may include at least one of；
Compare the mean value of the pixel value of two images,
Compare the intermediate value of the pixel value of two images；
Compare the very big pixel value of two images；
Compare the minimum pixel value of two images；
It is corresponding according to one or more of the comparison result of above-mentioned mean value, intermediate value, very big pixel value and minimum pixel value
Two images aberration diversity factor it is whether sufficiently large.For example, the difference of two mean values is more than mean value predetermined value, then it is assumed that two figures
Picture estimates that heterochromia is big, otherwise it is assumed that two images to estimate heterochromia small.For another example during the difference of two intermediate values is more than
Be worth predetermined value, then it is assumed that two images estimate that heterochromia is big, otherwise it is assumed that two images to estimate heterochromia small.Must
For example, in conjunction with the comparison of minimum pixel value and very big pixel value, determine whether the aberration diversity factor of image is sufficiently large；For example, pole
The comparison of small pixel value is directly and the fiducial value of very big pixel value is all higher than corresponding predetermined value, it is believed that the aberration diversity factor of image
It is whether sufficiently large, otherwise it is believed that whether the aberration diversity factor of image is not big enough enough.If image to estimate heterochromia big,
At least one of two images image is key images.
The Difference Calculation can be to be compared to the pixel of respective coordinates in two images one by one in the present embodiment
Obtain the result of the Difference Calculation.For example, the A of the Y-component and the pixel of the pixel of y-th of coordinate of xth row of n-th image
The corresponding weights of component carry out the fiducial value that the pixel is calculated, which is one of the n-th calculated value above-mentioned.
The Y-component weights corresponding with the A components of the pixel of the pixel of y-th of coordinate of xth row of (n+1)th image are calculated
The fiducial value of the pixel, the fiducial value are one of the (n+1)th calculated value above-mentioned, the difference of the two fiducial values is smaller, example
Such as, in given section, then it is assumed that the pixel value of the two pixels is equivalent, in this way, pixel value is equivalent in two images of statistics
Number of pixels, which can be used as to the parameter for the diversity factor for showing two images, or to calculate pixel value equivalent
Number of pixels and total pixel in image ratio, the similitude of two YUVA can be reflected using the ratio.
In some embodiments, key images and general can be determined by down-sampled mode in order to reduce calculation amount
Logical image.Sample frequency when calculating the calculated value can be higher than the sample frequency for estimate diversity factor.
Optionally, the step S215 may include：
It is described if the (n+1)th calculated value is located at compared to the result of the Difference Calculation of n-th calculated value outside preset range
(n+1)th described image is the key images；And/or if the (n+1)th calculated value compared to n-th calculated value difference meter
The result of calculation is located in the preset range, then (n+1)th described image is the normal image.
The result of Difference Calculation herein can be the pixel above-mentioned removed other than the equivalent number of pixels of the pixel value
Number, can also an image total number of pixels subtract number of pixels that the equivalent number of pixels of the pixel value obtains with it is total
The ratio of number of pixels.For example, then can ask equal to these fiducial values by the fiducial value for all pixels for participating in calculating
Value, it is believed that the two image similarities are very high, is recognized if mean value is located within the scope of mean value if mean value is located at outside mean value range
It is very big for the two image difference degree, wherein there are one be key images.In short, the result of the Difference Calculation is located at preset range
It is interior, illustrate that the diversity factor of the two images is big, then (n+1)th image is the key images big with previous image difference, otherwise may be used
For normal image.
Optionally, the value range of the A components is：0 to 2m, wherein the m is the digit of color channel；The step
Rapid S212 may include：The A components are normalized, are obtained and the Difference Calculation weights.
When carrying out the normalized, normalized denominator can be 2m, in this way, the A components being calculated are corresponding
The value range of Difference Calculation weights is：0 to 1.
In some embodiments, it can directly be calculated A components as Difference Calculation weights, if indicating A components
It is calculated directly as Difference Calculation weights, since the data being related to are bigger, difficulty in computation can be caused to increase, therefore above-mentioned
The normalized value for having carried out obtaining after the normalized of A components in embodiment is as the Difference Calculation weights.
Optionally, as shown in fig. 7, the method further includes：
Step S200：Original RGBA images are converted into image, wherein the RGBA images include：Red R component,
Green G components, blue B component and transparency A components；
Wherein, data volume is less than the RGBA images by compressed data volume after described image is compressed.
In the present embodiment, described image is converted by RGBA images, i.e., the described RGBA images are original images；
And described image is transformed image.
When carrying out conversion of the image to RGBA images, R component, B component and the G components in RGBA images are for being converted to
Y-component, U components in image and V component；And the A components indirect assignment in the RGBA images is to the A in described image points
Amount.R component, B component and G components are used to being converted to the relevant technologies that may refer to of Y-component in image, U components and V component
Conversion of the RGB image to YUV image.
Compression of images will be carried out after RGBA images conversion image, the compressed number obtained relative to direct compression RGBA
According to amount smaller, to suppressed range bigger, therefore reduce the data volume of compressed file again.
Described image is transformed by the RGBA images in the present embodiment, in order to promote treatment effeciency, is being incited somebody to action
While RGBA images conversion image, Difference Calculation directly is carried out to RGBA images, further according to RGBA images and image
Correspondence determines the key images in image and normal image.In this way, the conversion for realizing image type can be synchronized, and
It synchronizes and determines key images and normal image, reduce compression delay.For example, carrying out RGBA images to image using first thread
Conversion, utilize the second thread carry out key images and normal image differentiation；The first thread and the second thread can
Including one or more threads；But first thread and the second thread difference, to which compression text can be promoted by parallel computation
The Fast Compression of part.
Therefore in some embodiments, the step S211 may include：Extract R component, the G described in the RGBA images
One or more of component and the B component；
The step S212 may include：Difference Calculation weights are determined according to the A components；
The step S213 may include：Color difference components and the calculating weights based on extraction obtain n-th of RGBA
(n+1)th calculated value of the n-th calculated value and the n+1 RGBA images of image, wherein the n is positive integer；
The step S214 may include：Difference Calculation is carried out to n-th calculated value and (n+1)th calculated value；
The step S215 may include：Key images and the normal image are determined according to the result of the Difference Calculation.
In the present embodiment, one of the R component, G components and B component or multiple is specifically selected, it can basis
Heterochromia above-mentioned determines.If aberration diversity factor is small, can select only to carry out Difference Calculation with a color component.
In one of color component carry out Difference Calculation, to reduce calculation amount.In this implementation when carrying out Difference Calculation
Can also A components, Difference Calculation is carried out in conjunction with a color difference components and A components, to not only allow for color component and A components.
Difference Calculation is carried out in step S114 to may include：N-th calculated value and the (n+1)th calculated value are done into subtraction, from
And reach the result of Difference Calculation.By the result of the Difference Calculation with
And further, multiple described described images are the image of sequence frame animation, alternatively, the RGBA images are sequence
The image of frame animation.If the image of a Sequence images, then there is larger content relevance between image, so utilize aforementioned
Compress technique, can greatly amount of compressed data, reduce storage resource and/or bandwidth resources that data volume occupies.
In addition, in embodiments of the present invention, described image and the RGBA images can be at least partly transparent transparent print
Picture, in this way, using above-mentioned compression method can amount of compressed data to greatest extent, reduce unnecessary storage resource and transmission money
The waste in source.
Optionally, the step S220 may include：
According to the key images and the normal image, video compress is carried out to described image using VP9 coding modes.
In the present embodiment use VP9 coding modes to described image memory can video compress, Webm can be obtained and regarded
Frequency compressed file, the data volume and the time needed for compression which can be very good balanced file, it is ensured that data volume is most
While may reducing, code rate is promoted.
As shown in figure 11, a kind of electronic equipment is present embodiments provided, including：
Memory；
Processor is connect with the memory, and the computer for being located at by execution on the memory is executable to be referred to
It enables, can realize aforementioned one or more application one or more skills in the second private network, database, the first private network
The information processing method that art scheme provides, for example, Image Information Processing side shown in Fig. 1 to Fig. 2, Fig. 5 to Fig. 7 and Fig. 8 to Figure 10
One or more of method.
The memory can be various types of memories, can be random access memory, read-only memory, flash memory etc..It is described to deposit
Reservoir can be used for information storage, for example, storage computer executable instructions etc..The computer executable instructions can be various journeys
Sequence instructs, for example, objective program instruction and/or source program instruction etc..
The processor can be various types of processors, for example, central processing unit, microprocessor, Digital Signal Processing
Device, programmable array, digital signal processor, application-specific integrated circuit or image processor etc..
The processor can be connect by bus with the memory.The bus can be IC bus etc..
In some embodiments, the terminal device may also include：Communication interface, the communication interface may include：Network connects
Mouthful, for example, lan interfaces, dual-mode antenna etc..The communication interface is equally connected to the processor, and can be used in information receipts
Hair.
In some embodiments, the terminal device further includes man-machine interactive interface, for example, the man-machine interactive interface can
Including various input-output equipment, for example, keyboard, touch screen etc..
The present embodiment provides a kind of computer storage media, the computer storage media is stored with the executable finger of computer
It enables；After the computer executable instructions are performed, the Image Information Processing that one or more technical solutions provide can be realized
Method, for example, one or more of method shown in Fig. 1, Fig. 2, Fig. 5 to Figure 10.
The computer storage media can be include the various recording mediums with writing function, for example, CD, floppy disk, hard
The various storage mediums such as disk, tape, CD, USB flash disk or mobile hard disk.The optional computer storage media can be to deposit non-moment
Storage media, the computer storage media can be read out by the processor, so that the computer in the computer storage system of being stored in
After executable instruction is obtained and executed by processor, the information processing side that any one aforementioned technical solution provides can be realized
Method, for example, executing the information processing method in the information processing method or application server being applied in terminal device.
The present embodiment also provides a kind of computer program product, and the computer program product, which includes that computer is executable, to be referred to
It enables；After the computer executable instructions are performed, the image information that aforementioned one or more technical solutions provide can be realized
Processing method, for example, for example, one or more of method shown in Fig. 1, Fig. 2, Fig. 5 to Figure 10.
Described includes the computer program being tangibly embodied on computer storage media, and computer program includes for holding
The program code of method shown in row flow chart, program code may include corresponding execution method and step provided in an embodiment of the present invention
Corresponding instruction.The program product can be various application programs or Software Development Kit etc..
Below in conjunction with above-mentioned any embodiment several specific examples are provided：
Example 1：
As shown in figure 8, this example provides a kind of image information processing method, including：Decompression, image conversion, coding, caching
And multiple steps such as compression.Under application scenes, the decompression is non-essential.
The decompression may include：
Compressed file is read, for example, utilizing the compressed file of video compression technology compression in previous embodiment；
Decompression, herein, the compressed file read for decompression show image in fig. 8 to obtain multiple images
1, image 2 and image 3 etc..
If desired above-mentioned file is subjected to video compress, then enters subsequent step, coding, caching and compression etc..One
Image, which is converted, described in a little embodiments to be optional step, for example, original storage is exactly image, then be not necessarily to carry out image turn
It changes.
Described image conversion, coding and caching and compression may include：
File is read, the file read herein can be the image file read, specifically can be as shown in figure 8, the RBGA read
Image；
It replicates RGBA and carries out Difference Calculation, Difference Calculation herein is based on pixel granularity, for example, in two images
Corresponding position pixel carries out Difference Calculation (can also be based on down-sampled Difference Calculation) Difference Calculation mean value and is more than threshold one by one
Value, if (Y), then it is assumed that key images, if not (N) then indicate be non-key images；
RBGA images are converted into image, the component of image can be as shown in Figure 8, wherein " 0 " indicates blank component, it is aforementioned
The first blank component and the second blank component may be referred to collectively as blank component.
In cataloged procedure, coding initialization first.Encoded image frame can be：It is regarded according to key images and normal image
Frequency encodes, and key images coding herein can correspond to the key frame in video, and normal image can correspond to common in video
Frame.
Coding obtains video head after coding initialization, which may include：Video parameter, for example, video
The picture frame number for the video for including, width, height, video format and U.S. second transmission frame per second (the Frames Per of picture frame
Second, FPS) etc. video parameters.
When encoded image frame, frame head and data cached can be formed, frame head may include：The parameter of picture frame, for example, instruction should
Whether picture frame is key frame corresponding to key images, corresponds to the normal frames etc. of normal image.It is described data cached to wrap
Image data is included, for example, the image data of image, which may include：Y-component, A components, U components, V component, first
The component value of blank component and the second blank component.
If completing the coding of all images, the tail of encoded video file equally may include：Frame head+video data.
Finally carry out video compress.The compression process may include：Compressed file is written in compression initialization, compression, for example,
Compressed file is written in hard disk, consumed storage resource is stored to reduce.Further include in some cases：Send institute
State compressed file.The compressed file can be carried is issued to receiving terminal in the installation kit for the application program that image is applied, yet
Can be in presence server, the request based on the application program in terminal device issues the compressed file.In other feelings
Under condition, the method may also include：The terminal device periodically updated compressed file being transferred to where application program.
Usage scenario：It needs to play multiple videos simultaneously, each face sequence frame animation is required for mating video to decode；
Coding：Use Webm coding advantages：It occupies little space, mitigates server load.
Decoding：
Mode one：Real-time video decodes compressed file or encoded video compressed file.
Mode two：It stores on raw image data to hard disk.Multithreading decodes multiple compressed files.
Encoding raw image data is small documents by CPU idle periods.For example, the utilization rate in CPU is less than specific threshold
When, raw image data is encoded, for example, raw image data described in JPEG compression, saves the consumption of storage resource.
Image encodes：In order to real image include transparency component image coding, such as WebP coding use YUV+Alpha
(A) mode is weighed scramble time and file size, is compressed using jpg.
Example 2：
As shown in figure 9, this example provides a kind of image information processing method, which may include：Various images
Image data.The method may include：
Read compressed file；
Decompressing compressed file obtains decompressing files 1, decompressing files 2 and decompressing files 3, and 3 are not limited in specific implementation
A decompressing files.
Caching may include：Video file head, image frame head and data cached (this is data cached to may include：Original
Image data).
Encoding operation may include：
Coding initialization；
Encoded image frame；
Judge whether to be last image, if not return cache operates.
Image conversion may include：
Image has been obtained by encoded image frame；
Image is removed into blank component, obtains gray-scale map；
Raw image data is stored, alternatively, JPEG compression preserves jpeg format compressed data.
If current CPU usage is smaller, reads raw image data from hard disk and carry out JPEG compression.
Example 3：
As shown in Figure 10, this example provides a kind of broadcasting illustrative method of sequence frame animation, including:
Image file sequence is asked, since sequence frame animation is to switch image according to sequencing, to form animation effect
Fruit, therefore in some cases, image is to be stored in a device according to sequence form, therefore form described image file sequence
Row；
Image file is read from hard disk；
Judge whether jpeg image, if (Y) reads jpeg image file, (N) reads raw image files if not,
The raw image files may be the image for eliminating blank component.
Convert the image into RGBA images；
File Mapping is carried out as a result, for example, image is mapped as RGBA images, in this way, can know RGBA images
Play order.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.Apparatus embodiments described above are merely indicative, for example, the division of the unit, only
A kind of division of logic function, formula that in actual implementation, there may be another division manner, such as：Multiple units or component can combine, or
It is desirably integrated into another system, or some features can be ignored or not executed.In addition, shown or discussed each composition portion
It can be the INDIRECT COUPLING by some interfaces, equipment or unit to divide mutual coupling or direct-coupling or communication connection
Or communication connection, can be electrical, mechanical or other forms.
The above-mentioned unit illustrated as separating component can be or may not be and be physically separated, aobvious as unit
The component shown can be or may not be physical unit, you can be located at a place, may be distributed over multiple network lists
In member；Some or all of wherein unit can be selected according to the actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in various embodiments of the present invention can be fully integrated into a processing module, also may be used
It, can also be during two or more units be integrated in one unit to be each unit individually as a unit；It is above-mentioned
The form that hardware had both may be used in integrated unit is realized, can also be realized in the form of hardware adds SFU software functional unit.
One of ordinary skill in the art will appreciate that：Realize that all or part of step of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer read/write memory medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes：It is movable storage device, read-only
Memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or
The various media that can store program code such as person's CD.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of image information processing method, which is characterized in that including：
Before play sequence frame animation, the image in the compressed file compressed with video compression technology is restored；
Store described image；
When playing the sequence frame animation, reads described image and the figure is playd in order according to the broadcasting order of described image
Picture.
2. method according to claim 1, which is characterized in that the method further includes：
If present load rate is less than default load factor, compression described image is to obtain compressed data；
The storage described image includes：
Store the compressed data.
3. according to the method described in claim 2, it is characterized in that,
If the present load rate is less than default load factor, described image is compressed to obtain compressed data, including：
If the present load rate is less than the default load factor, JPEG compression technique compresses described image is utilized.
4. according to the method described in claim 1, it is characterized in that, described image is YUVA images, wherein the YUVA images
Including：Luminance Y component, the first aberration U components, the second aberration V component and transparency A components, the first blank component and second are empty
White component；The data volume of the Y-component is equal to the A components；The sum of the data volume of the U components and the first blank component
The data volume of the A components described equal to 1/2；The sum of data volume of the V component and the second blank component is equal to 1/2 A
The data volume of component.
5. according to the method described in claim 4, it is characterized in that, the storage described image, including：
Store the YUVA images；
Or,
Y-component, U components, V component and the A components of the YUVA images.
6. according to the method described in claim 4, it is characterized in that, the method further includes：
The YUVA images are converted into RGBA images, wherein the RGBA images include：Red R component, green G components, indigo plant
Color B component and transparency A components；
The storage described image includes：
Store the RGBA images；
Alternatively,
Store the compressed file of the RGBA images.
7. a kind of image information processing device, which is characterized in that including：
Recovery module, for before play sequence frame animation, restoring the figure in the compressed file compressed with video compression technology
Picture；
Memory module, for storing described image；
Playing module, for when playing the sequence frame animation, reading described image and the broadcasting order according to described image
Play in order described image.
8. a kind of electronic equipment, which is characterized in that including：
Memory；
Processor is connect with the memory, the computer executable instructions for being located at by execution on the memory, energy
The method that any one of enough claims 1 to 6 provide.
9. a kind of computer storage media, the computer storage media is stored with computer executable instructions；The computer
After executable instruction is performed, the method that any one of claim 1 to 6 provides can be realized.
10. a kind of computer program product, which is characterized in that the computer program product includes computer executable instructions；
After the computer executable instructions are performed, the method that any one of claim 1 to 6 provides can be realized.
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