CN104581191A - cloud image data output method and cloud server - Google Patents
cloud image data output method and cloud server Download PDFInfo
- Publication number
- CN104581191A CN104581191A CN201310520281.9A CN201310520281A CN104581191A CN 104581191 A CN104581191 A CN 104581191A CN 201310520281 A CN201310520281 A CN 201310520281A CN 104581191 A CN104581191 A CN 104581191A
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- image data
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- full field
- cloud server
- distance factor
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- 238000000034 method Methods 0.000 title abstract description 3
- 230000006835 compression Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000000465 moulding Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
- H04N21/23113—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion involving housekeeping operations for stored content, e.g. prioritizing content for deletion because of storage space restrictions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
- H04N21/234309—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by transcoding between formats or standards, e.g. from MPEG-2 to MPEG-4 or from Quicktime to Realvideo
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/2662—Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities
Abstract
A cloud image data output method and a cloud server are provided. The cloud server comprises a storage device and a central processing unit. The storage device stores cloud image data. The central processing unit receives the full-view image captured by the client device and detects the human face area in the full-view image. The central processing unit calculates a distance factor according to the proportion of the face area to the full-view image, and determines an output format of the cloud image data according to the distance factor. The central processing unit outputs the cloud image data to the user terminal device according to the output format.
Description
Technical field
The present invention relates to a kind of electronic installation, particularly relate to a kind of high in the clouds image data output intent and cloud server.
Background technology
Along with day by day popularizing of network, cloud service also touches the general daily life of people.Such as, Network Operator release high in the clouds backup, high in the clouds printing, community service, webpage pattern E-mail service or high in the clouds video streams service etc.Cloud service provides individual user a far-end server space, utilizes user end apparatus to access wherein data at any time anywhere for it.User end apparatus is such as mobile phone, flat computer, mobile computer, intelligent TV or integrated molding computer (All-in-One, AIO), and network is such as 3G network, WiFi network or cable network.
For example, by user end apparatus, user requires that cloud server provides high in the clouds video streams service after, cloud server exports high in the clouds video streams to user end apparatus.User can watch high in the clouds video streams in user end apparatus.But the frequency range of 3G network, WiFi network and cable network is different, and the screen size of variety classes user end apparatus is also not identical.If the output format of high in the clouds video streams does not have respective user end device to adjust, then user possibly cannot browse high in the clouds video streams swimmingly or view and admire clear picture.
Summary of the invention
The present invention relates to a kind of high in the clouds image data output intent and cloud server, it selects the output format of high in the clouds image data adaptively by the distance factor.
According to the present invention, a kind of high in the clouds image data output intent is proposed.High in the clouds image data output intent comprises: capture full field image by user end apparatus; Human face region is detected in full field image; Ratio according to human face region and full field image calculates the distance factor; Determined the output format of high in the clouds image data according to the distance factor by cloud server; And export high in the clouds image data to user end apparatus according to output format.
According to the present invention, a kind of cloud server is proposed.Cloud server comprises storage device and central processing unit.Storage device stores high in the clouds image data.Central processing unit receives the full field image captured by user end apparatus, and detects human face region in full field image.Central processing unit calculates the distance factor according to the ratio of human face region and full field image, and determines the output format of high in the clouds image data according to the distance factor.Central processing unit exports high in the clouds image data to user end apparatus according to output format.
In order to have better understanding to above-mentioned and other aspect of the present invention, preferred embodiment cited below particularly, and be described with reference to the accompanying drawings as follows.
Accompanying drawing explanation
Fig. 1 shows the schematic diagram of cloud server, network and user end apparatus.
Fig. 2 shows the flow chart of the high in the clouds image data output intent according to the first embodiment.
Fig. 3 shows the schematic diagram of a kind of full field image according to the first embodiment.
Fig. 4 shows the schematic diagram of a kind of full field image according to the first embodiment.
Fig. 5 shows the flow chart of the high in the clouds image data output intent according to the 3rd embodiment.
Reference numeral explanation
11: user end apparatus
12: cloud server
13: network
21 ~ 26,51 ~ 56: step
31: full field image
32: human face region
121: storage device
122: central processing unit
FW1, FW2: width
FW3: two width
Embodiment
First embodiment
Referring to Fig. 1, Fig. 2 and Fig. 3, Fig. 1 shows the schematic diagram of cloud server, network and user end apparatus, Fig. 2 shows the flow chart of the high in the clouds image data output intent according to the first embodiment, and Fig. 3 shows the schematic diagram of a kind of full field image according to the first embodiment.User end apparatus 11 is linked up via network 13 and cloud server 12.User end apparatus 11 is such as mobile phone, flat computer, mobile computer, intelligent TV, integrated molding computer (All-in-One, AIO) or other there is the electronic installation of image acquisition function, and network 13 is such as 3G network, WiFi network or cable network.Cloud server 12 comprises storage device 121 and central processing unit 122, and storage device 121 stores high in the clouds image data.High in the clouds image data is such as video streams, user interface or graphical user interface (Graphical User Interface, GUI).
High in the clouds image data output intent comprises the steps.First, as shown in step 21, full field image 31 is captured by user end apparatus 11.Then as indicated at step 22, user end apparatus 11 detects human face region 32 in full field image 31.The detection of human face region 32 can be divided into two kinds of practices.The first practice analyzes the colour of skin block in full field image, then checks texture.Generally speaking, face is symmetrical in mid facial, so its texture has uniqueness compared to other colour of skin blocks of health because the organs such as eyes nose face mostly are.Therefore face part can be oriented by this.
The second practice is called that Ha Er detects the method for detecting human face of (Haar detection).It is by training texture classifier to remove each block checked in full field image that Ha Er detects.Its principle this be collect a large amount of face image texture train several Weak Classifiers (distinguish certain block be in face or non-in face).Then in image, remove blockette according to the size ordered in advance, go to check with these Weak Classifiers at each block block.After each Weak Classifier is maked decision to a block, the result of these Weak Classifiers of integration becomes a strong classifier and finally judges that this block belongs to face or non-face again.After obtaining face block, the block of face just can be gone out by frame, and therefore the length and width pixel number or area etc. of face block can be obtained.
And then, as shown in step 23, user end apparatus 11 calculates the distance factor according to human face region 32 and the ratio of full field image 31.Then as shown in step 24, user end apparatus 11 exports the distance factor to cloud server 12.And then, as shown in step 25, the output format of high in the clouds image data is determined according to the distance factor by cloud server 12.Then as shown in step 26, cloud server 12 exports high in the clouds image data to user end apparatus 11 according to output format.Cloud server 12 can judge the kind of user end apparatus 11 by the distance factor, and then selects the output format of high in the clouds image data adaptively.
For convenience of description, the distance factor of the first embodiment illustrates for the ratio of the width FW1 of the width FW2 of human face region 32 and full field image 31.After cloud server 12 obtains the ratio of the width FW2 of human face region 32 and the width FW1 of full field image 31, cloud server 12 can convert according to the ratio of width FW2 and width FW1 the distance of face and screen.For example, when the ratio of width FW2 and width FW1 is 1:2 ~ 3, then the distance of face and screen is about 0.5 meter.When the ratio of width FW2 and width FW1 is 1:5 ~ 6, then the distance of face and screen is about 1 meter.When the ratio of width FW2 and width FW1 is 1:10 ~ 12, then the distance of face and screen is about 2.5 meters.User views and admires impression to remain good, and face can be different with the kind of user end apparatus 11 from the distance of screen.For example, when user end apparatus 11 is portable electric device, the distance of face and screen is about 0.5 meter.When user end apparatus 11 is computer screen, the distance of face and screen is about 1 meter.When user end apparatus 11 is TV, the distance of face and screen is about 2.5 meters.
As previously mentioned, cloud server 12 can judge the kind of user end apparatus 11 by the distance factor, and then selects the output format of high in the clouds image data adaptively.For example, when user end apparatus 11 is portable electric device, the screen due to portable electric device is less and link up via 3G network and cloud server 12, and therefore the output format of high in the clouds image data can select low-res and little compressible.When user end apparatus 11 is computer screen, due to screen, comparatively portable electric device is large and may link up via Wi-Fi network and cloud server 12, and therefore the output format of high in the clouds image data can select medium resolution and high compression rate.When user end apparatus 11 is TV, because screen is comparatively large and link up via cable network and cloud server 12, therefore the output format of high in the clouds image data can select high-res and little compressible.
Second embodiment
The schematic diagram of a kind of full field image according to the first embodiment is shown referring to Fig. 1 and Fig. 4, Fig. 4.Second embodiment and the first embodiment main difference part are that the account form of the distance factor is different.In the second embodiment, the distance factor equals the ratio of two width FW3 of in human face region 32 and the width FW1 of full field image 31.Cloud server 12 can select the output format of high in the clouds image data adaptively according to the ratio of the width FW1 of two width FW3 and full field image 31.In addition, in another embodiment, the distance factor equals the ratio of the area of human face region 32 and the area of full field image 31.Moreover, in another embodiment, the distance factor equals the ratio of the length of human face region 32 and the length of full field image 31.
3rd embodiment
The flow chart of the high in the clouds image data output intent according to the 3rd embodiment is shown referring to Fig. 1 and Fig. 5, Fig. 5.3rd embodiment and the first embodiment main difference part are that the 3rd embodiment calculates the distance factor by cloud server 12.First as shown in step 51, full field image 31 is captured by user end apparatus 11.Then as shown in step 52, user end apparatus 11 exports full field image to cloud server 12.Then as indicated by step 53, the central processing unit 122 of cloud server 12 receives the full field image 31 captured by user end apparatus 11, and detects human face region 32 in full field image 31.And then as shown at 54, the central processing unit 122 of cloud server 12 calculates the distance factor according to human face region 32 and the ratio of full field image 31.Then as indicated by step 55, determined the output format of high in the clouds image data according to the distance factor by the central processing unit 122 of cloud server 12.Then as shown in step 56, the central processing unit 122 of cloud server 12 exports high in the clouds image data to user end apparatus 11 according to output format.
In sum, although the present invention with preferred embodiment disclose as above, so itself and be not used to limit the present invention.Those skilled in the art under the premise without departing from the spirit and scope of the present invention, can be used for a variety of modifications and variations.Therefore, protection scope of the present invention is as the criterion with claim of the present invention.
Claims (16)
1. a high in the clouds image data output intent, comprising:
A full field image is captured by a user end apparatus;
A human face region is detected in this full field image;
Ratio according to this human face region and this full field image calculates a distance factor;
Determined an output format of this high in the clouds image data according to this distance factor by a cloud server; And
This high in the clouds image data is exported to this user end apparatus according to this output format.
2. high in the clouds as claimed in claim 1 image data output intent, wherein this user end apparatus calculates this distance factor, and exports this distance factor to this cloud server.
3. high in the clouds as claimed in claim 1 image data output intent, wherein this user end apparatus exports this full field image to this cloud server, and this cloud server calculates this distance factor according to this full field image.
4. high in the clouds as claimed in claim 3 image data output intent, wherein this output format comprises a resolution and a compression ratio.
5. high in the clouds as claimed in claim 4 image data output intent, wherein this high in the clouds image data is a video streams, a user interface or a graphical user interface.
6. high in the clouds as claimed in claim 5 image data output intent, wherein this distance factor equals the ratio of the width of this human face region and the width of this full field image.
7. high in the clouds as claimed in claim 5 image data output intent, wherein this distance factor equals the ratio of the width of two width in this human face region and this full field image.
8. high in the clouds as claimed in claim 5 image data output intent, wherein this distance factor equals the ratio of the area of this human face region and the area of this full field image.
9. high in the clouds as claimed in claim 5 image data output intent, wherein this distance factor equals the ratio of the length of this human face region and the length of this full field image.
10. a cloud server, comprising:
One storage device, in order to store a high in the clouds image data;
One central processing unit, in order to receive the full field image captured by a user end apparatus, and detect a human face region in this full field image, this central processing unit calculates a distance factor according to the ratio of this human face region and this full field image, and an output format of this high in the clouds image data is determined according to this distance factor, this central processing unit exports this high in the clouds image data to this user end apparatus according to this output format.
11. cloud server as claimed in claim 10, wherein this output format comprises a resolution and a compression ratio.
12. cloud server as claimed in claim 11, wherein this high in the clouds image data is a video streams, a user interface or a graphical user interface.
13. cloud server as claimed in claim 12, wherein this distance factor equals the ratio of the width of this human face region and the width of this full field image.
14. cloud server as claimed in claim 12, wherein this distance factor equals the ratio of the width of two width in this human face region and this full field image.
15. cloud server as claimed in claim 12, wherein this distance factor equals the ratio of the area of this human face region and the area of this full field image.
16. cloud server as claimed in claim 12, wherein this distance factor equals the ratio of the length of this human face region and the length of this full field image.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW102137163 | 2013-10-15 | ||
| TW102137163A TWI520048B (en) | 2013-10-15 | 2013-10-15 | Method for outputting cloud image data and cloud server |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104581191A true CN104581191A (en) | 2015-04-29 |
Family
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310520281.9A Pending CN104581191A (en) | 2013-10-15 | 2013-10-29 | cloud image data output method and cloud server |
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| Country | Link |
|---|---|
| CN (1) | CN104581191A (en) |
| TW (1) | TWI520048B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110390745A (en) * | 2019-06-03 | 2019-10-29 | 浙江大华技术股份有限公司 | Gate control method, system, readable storage medium storing program for executing and equipment |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI622509B (en) * | 2016-06-17 | 2018-05-01 | 陳朝烈 | Vehicle active safety system and control method thereof |
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| CN102800302A (en) * | 2011-05-25 | 2012-11-28 | 联想移动通信科技有限公司 | Method for adjusting resolution of display screen by terminal equipment, and terminal equipment |
| CN103139144A (en) * | 2011-11-24 | 2013-06-05 | 中国电信股份有限公司 | Multi-media information releasing method and device |
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2013
- 2013-10-15 TW TW102137163A patent/TWI520048B/en not_active IP Right Cessation
- 2013-10-29 CN CN201310520281.9A patent/CN104581191A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101640664A (en) * | 2008-07-31 | 2010-02-03 | Tcl集团股份有限公司 | Internet portal service system and management method thereof |
| WO2011088640A1 (en) * | 2010-01-22 | 2011-07-28 | 中兴通讯股份有限公司 | Method for mobile terminal to browse multimedia resource and corresponding system and communication system |
| CN102447975A (en) * | 2010-10-08 | 2012-05-09 | 中国联合网络通信集团有限公司 | Streaming media information processing method, system and server |
| CN102800302A (en) * | 2011-05-25 | 2012-11-28 | 联想移动通信科技有限公司 | Method for adjusting resolution of display screen by terminal equipment, and terminal equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110390745A (en) * | 2019-06-03 | 2019-10-29 | 浙江大华技术股份有限公司 | Gate control method, system, readable storage medium storing program for executing and equipment |
| CN110390745B (en) * | 2019-06-03 | 2022-04-08 | 浙江大华技术股份有限公司 | Gate control method, system, readable storage medium and device |
Also Published As
| Publication number | Publication date |
|---|---|
| TWI520048B (en) | 2016-02-01 |
| TW201514844A (en) | 2015-04-16 |
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Application publication date: 20150429 |