CN107239272B - Video capture equipment redirection method and device - Google Patents
Video capture equipment redirection method and device Download PDFInfo
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- CN107239272B CN107239272B CN201710227817.6A CN201710227817A CN107239272B CN 107239272 B CN107239272 B CN 107239272B CN 201710227817 A CN201710227817 A CN 201710227817A CN 107239272 B CN107239272 B CN 107239272B
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Abstract
The invention provides a method and a device for redirecting video capture equipment, which belong to the technical field of redirection of video capture equipment, and specifically comprise the following steps: acquiring all video capture devices connected with a terminal; creating a virtual video capture device within the virtual machine based on the user selection; providing a video self-adaptive mode, tracking the processing efficiency of video transmission images through a virtual machine internal decoding strategy after starting, and carrying out self-adaptation on the decoding efficiency and the transmission frequency in the virtual machine according to a processing coordination algorithm; and releasing the mapping relation between the physical equipment and the virtual equipment according to the specific demapping mode. According to the method and the device, the parameters of the real video capture equipment are completely acquired, and the complete virtual video capture equipment is constructed, so that the problem of partial function failure of the specific video capture equipment is avoided, meanwhile, the decoding efficiency in the virtual machine and the transmission efficiency of the terminal are balanced through a virtual machine computing resource self-adaption mechanism, and the problem of image accumulation possibly occurring in decoding and playing of the virtual machine is avoided.
Description
Technical Field
The invention relates to the technical field of redirection processing of desktop virtualized video capture equipment, in particular to a method and a device for redirecting video capture equipment.
Background
With the continuous progress of science and technology, network technology is developed increasingly, and the application of virtualization is popularized gradually. Desktop virtualization refers to a technology of generating an independent virtual desktop after server virtualization is performed on a server serving as a data center, and then transmitting the virtual desktop to a terminal device by using a proprietary virtual desktop protocol. The user can input a user name, a password and network management information through the Ethernet to be connected to the virtual machine, and then directly accesses the desktop system of the user through the network. Although the desktop virtualization technology brings great convenience to the mobile office of the user, new problems are brought to the mobile office, such as: how to deal with the large use demands of terminal image equipment and video capture equipment in the process of using desktop virtualization.
For the redirection technology of the video capture device, generally, a virtual video capture device needs to be created in a virtual machine, for the creation of the virtual device, only the name, hardware ID and partial image attributes (including image resolution, brightness and contrast) of a physical video capture device are often obtained in the prior art, although for a general video capture device, the same virtual video capture device as a real video capture device can be simulated in the virtual machine through the above three items of information, but a specific video capture device software may have an extended function, and if the virtual video capture device does not support the extended function well, such a video capture device may not be normally identified or normally used.
In addition, when the video capture device processes image data, the mjpeg format is often adopted to save the internal USB data bandwidth of the system, and in the redirection mode, because the computing capacity of the virtual machine is often slightly lower than that of a real physical machine, after redirection, CPU resources may be excessively occupied when decoding and rendering the mjpeg format in the virtual machine, and even image data accumulation may be generated due to untimely decoding, which may cause high delay and stuttering of images played by an application program, and reduce user experience. Therefore, how to solve the above problems is a problem that needs to be solved at present.
Disclosure of Invention
The invention provides a video capture device redirection method and a video capture device redirection device, which aim to improve the problems.
In a first aspect, the present invention provides a method for redirecting video capture devices, where the method includes acquiring all video capture devices currently connected to a terminal; simulating video capture equipment connected to a terminal in a virtual machine based on a mapping mode selected by a user, and creating virtual video capture equipment; tracking the processing efficiency of video transmission images through a virtual machine internal decoding strategy after a video self-adaptive mode selected by a user is obtained, and self-adapting the decoding efficiency and the transmission frequency in the virtual machine according to a processing coordination algorithm; and according to a specific mapping removing mode, removing the mapping relation between the video capturing equipment on the terminal and the virtual video capturing equipment in the virtual machine. In a second aspect, the apparatus for redirecting video capture devices provided by the present invention includes an enumerator device unit, configured to obtain a peripheral device list composed of all video capture devices currently connected to a terminal; the device mapping unit is used for simulating the video capture device connected to the terminal in the virtual machine based on the mapping mode selected by the user and creating a virtual video capture device; the image transmission unit is used for tracking the processing efficiency of video transmission images through a virtual machine internal decoding strategy after the video self-adaptive mode selected by the user is obtained, and carrying out self-adaptation on the decoding efficiency and the transmission frequency in the virtual machine according to a coordination processing algorithm; and the equipment demapping unit is used for demapping the mapping relation between the video capture equipment on the terminal and the virtual video capture equipment in the virtual machine according to a specific demapping mode.
According to the method and the device for redirecting the video capture equipment, provided by the invention, the physical video capture equipment is completely simulated in the virtual machine, so that the virtual video capture equipment is created; and tracking the processing efficiency of video transmission images through a decoding strategy inside the virtual machine according to a video self-adaptive mode selected by a user, and achieving the self-adaptive effect of the decoding efficiency and the transmission frequency inside the virtual machine according to a coordination processing algorithm, thereby solving the problems that video capture equipment cannot be normally identified or normally used, images played by application programs in the virtual machine have high delay and high image accumulation, and the user experience is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of an embodiment of a video capture device redirection processing method according to the present invention;
FIG. 2 is a detailed flowchart of the manual mapping in the user-selected mapping strategy of the present invention;
FIG. 3 is a detailed flow chart of automatic mapping in the user-selected mapping strategy of the present invention;
FIG. 4 is a detailed flow chart of the process coordination algorithm of the present invention;
FIG. 5 is a detailed flow chart of the active demapping according to the present invention;
fig. 6 is a detailed flowchart of the passive demapping according to the present invention.
Fig. 7 is a flowchart of an implementation of the redirection processing apparatus for video capture device in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1, which is a flowchart illustrating a processing method of a video capture device according to the present invention. The specific process shown in FIG. 1 will be described in detail below.
At step 101, video capture devices are enumerated.
The enumeration video capture device respectively generates unique 64-bit device identifiers for all video capture devices connected with the current terminal, and forms a peripheral device list to be returned to the main process of the virtual machine.
The mapping device is specifically configured to obtain complete relevant information of the video capture device after a user selects a specific mapping mode, and the method includes: the device name, hardware ID, image resolution, brightness, contrast, and send to the virtual machine, creating a virtual capture device within the virtual machine that is the same secure as the physical video capture device.
The user selects a particular mapping manner in which the user may select to map the physical video capture device into the virtual machine in either a manual mapping 1021 or an automatic mapping 1022.
The specific process of manual mapping 1021 is as shown in fig. 2, where a user designates video capture device mapping in a peripheral device list, an interface sends a mapping command to a virtual desktop process, obtains the complete attribute of the peripheral device and synchronizes to a server, and a virtual machine completely simulates a virtual video capture device according to the information of a real video capture device, thereby completing manual mapping.
As shown in fig. 3, when the video playing software in the virtual machine needs to use a video capture device, a command is actively sent by the VCam to acquire a video capture device connected to the current terminal, and acquire complete information of the available video capture device that is found first, and at the same time, add the video capture device into the mapped device list, and set the attribute of the VCam device in the virtual machine according to the video capture device information.
And step 103, transmitting the image.
And the image transmission is to track the processing efficiency of the video transmission image through the internal decoding strategy of the virtual machine after the video self-adaptive mode selected by the user is obtained, and to carry out self-adaptation on the decoding efficiency and the transmission frequency in the virtual machine according to the processing coordination algorithm.
In this embodiment, the video adaptive mode is specifically divided into an image smooth mode, a moderate mode, and an image slow mode, and table 1 shows the processing of image data and the CPU occupation in the virtual machine in the three modes.
TABLE 1
As shown in fig. 4, the processing coordination algorithm for video capture device redirection is now described in detail.
Calculate average decision time part:
1) setting the initial average decode time in the virtual machine to 0 (this value is configurable);
2) if the terminal acquires a first frame image, the first frame image is sent to the virtual machine after being coded, sending time is recorded, the virtual machine decodes the first frame image after receiving the image, the decoding time is recorded as initial average decoding time (only one frame image is decoded in the virtual machine at the moment, and the average decoding time is the decoding time of the frame image), and the time is multiplied by a first coefficient K (the value of K is 1.05 in practice), so that average judgment time is generated and sent to the server side, and the process is finished;
3) if the terminal acquires a non-first frame image, the server virtual machine calculates the average decoding time of the virtual machine in the current time period T by taking T as a period (T generally takes a value of 1 second) from the time of receiving a second frame, and the calculation formula is as follows:
the average decoding time is the accumulated decoding time in the current T time/the accumulated processing frame number in the current T time;
4) the average decoding time is used for generating the average judgment time, and the specific generation method comprises the following steps:
an average decision time (average decoding time) is a first coefficient K (K is usually 1.05 in practice);
5) and calculating the judgment time by taking T as a period, sending the updated average judgment time to the terminal when the calculation in each T period is finished, and starting the judgment time calculation of the next T period.
A coordination judgment processing section:
1) when the terminal prepares to send the next frame image, calculating the time interval between the current time and the sending time of the previous frame image;
2) judging whether the time interval is less than the latest average judgment time or not;
3) if the time interval is less than the latest average judgment time, discarding the current image acquired on the terminal, then acquiring the next frame of image, and returning to 1);
4) if the time interval is larger than the latest average judgment time, sending the current image acquired from the terminal to the virtual machine, updating the sending time and returning to 1);
the above process is repeated until the video capture device is turned off.
Specifically, the de-mapping is to remove the mapping relationship between the video capture device on the terminal and the virtual video capture device in the virtual machine according to a specific de-mapping mode.
The specific demapping modes are specifically divided into an active demapping 1041 mode and a passive demapping 1042 mode.
As shown in fig. 5, a specific process of actively removing the mapping 1041 is that a user selects a video capture device that needs to remove the mapping relationship from a video capture device list, the video capture device redirection service removes the video capture device from the mapped list, meanwhile, the corresponding virtual desktop process stops the work of the designated video capture device and sends a map removing message to the virtual machine, and the virtual machine removes the corresponding virtual video capture device after receiving the map removing message, thereby completing the operation of actively removing the mapping.
As shown in fig. 6, when the physical video capture device is pulled out, the video capture device redirection service detects that a device has a problem, then obtains a video capture device list on the current terminal, compares the video capture device list with the mapped device list, finds a device that does not exist in the current device list, finally, stops the operation of the designated video capture device corresponding to the virtual desktop process, sends a de-mapping message to the virtual machine, and removes the corresponding virtual video capture device after receiving the de-mapping message, thereby completing the passive de-mapping operation.
Please refer to fig. 7, which is a functional module diagram of a redirection processing apparatus for video capture devices according to the present invention. The video capture device redirection processing apparatus 200 includes an enumerator device unit 210, a device mapping unit 220, an image transmission unit 230, and a device demapping unit 240.
An enumerate device unit 210, configured to obtain a peripheral device list composed of all video capture devices connected to the current terminal.
And a device mapping unit 220, configured to simulate, in the virtual machine, a video capture device connected to the terminal based on the mapping manner selected by the user, and create a virtual video capture device.
Wherein the device mapping unit 220 specifically includes a manual mapping unit 221, an automatic mapping unit 222, and a simulation device unit 223.
And a manual mapping unit 221, configured to enable a user to specify a video capture device in the peripheral device list, map the video capture device into the virtual machine, and add the video capture device to the mapped device list.
And an automatic mapping unit 222, configured to, when an application in the virtual machine needs to use the video capture device, obtain, in the peripheral device list, the available video capture device that is found first, map the available video capture device into the virtual machine, and add the available video capture device into the mapped device list.
The simulation device unit 223 is configured to, when a virtual video capture device is created in the virtual machine, obtain complete relevant information of the video capture device at the client and send the information to the virtual machine, so as to achieve an effect of completely simulating the video capture device connected to the terminal.
The image transmission unit 230 is configured to, after the video adaptive mode selected by the user is obtained, track the processing efficiency of video transmission images through a virtual machine internal decoding strategy, and perform adaptation on the decoding efficiency and the transmission frequency inside the virtual machine according to a coordination processing algorithm.
The image transmission unit 230 specifically includes an image decoding unit 231, an image processing unit 232, and a processing coordination unit 233.
The image decoding unit 231 decodes the image in the virtual machine, calculates an average decoding time used for decoding one frame of image within a certain time, calculates an average determination time from the average decoding time, and transmits it to the terminal.
An image processing unit 232 for calculating a time interval between a time when one frame of image is ready to be transmitted and a transmission time of an adjacent image on the terminal.
The processing coordination unit 233 compares the average determination time in the image decoding unit with the time interval in the image processing unit, and thereby realizes adaptation of the decoding frequency and the transmission frequency in the virtual machine.
And the device demapping unit 240 is configured to, based on the demapping manner selected by the user, demap the video capture device on the terminal from the virtual video capture device in the virtual machine.
The device demapping unit 240 specifically includes an active demapping unit 241 and a passive demapping unit 242.
An active demapping unit 241, configured to specify the video capture device demapping relationship in the peripheral device list.
And the passive demapping unit 242, when the thread of the monitoring device on the terminal detects that the video capture device is pulled out or lost, compares the peripheral device list with the mapped device list, finds a device that does not exist in the peripheral device list, and removes the device from the mapped device list, thereby removing the mapping relationship.
In summary, according to the method and apparatus for redirecting video capture devices provided by the present invention, a virtual video capture device is created by completely simulating a physical video capture device in a virtual machine; and tracking the processing efficiency of video transmission images through a decoding strategy inside the virtual machine according to a video self-adaptive mode selected by a user, and achieving the self-adaptive effect of the decoding efficiency and the transmission frequency inside the virtual machine according to a coordination processing algorithm, thereby solving the problems that video capture equipment cannot be normally identified or normally used, images played by application programs in the virtual machine are delayed highly, and the user experience is reduced.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Claims (8)
1. A video capture device redirection method is characterized by comprising the following specific steps:
acquiring all video capture devices connected with a current terminal;
simulating video capture equipment connected to a terminal in a virtual machine based on a mapping mode selected by a user, and creating virtual video capture equipment;
tracking the processing efficiency of video transmission images through a virtual machine internal decoding strategy after a video self-adaptive mode selected by a user is obtained, and self-adapting the decoding efficiency and the transmission frequency in the virtual machine according to a processing coordination algorithm;
according to a specific mapping removing mode, removing the mapping relation between the video capturing device on the terminal and the virtual video capturing device in the virtual machine, after the video self-adaptive mode selected by the user is obtained, tracking the processing efficiency of video transmission images through a decoding strategy in the virtual machine, and performing self-adaptation on the decoding efficiency and the transmission frequency in the virtual machine according to a coordination processing algorithm, wherein the specific method comprises the following steps:
after a video self-adaptive mode selected by a user is obtained, calculating the average decoding time of each frame of image decoded in the virtual machine within the time T of a first updating period parameter;
the average decoding time is used for generating the average judgment time, and the specific calculation method comprises the following steps: an average decision time is an average decoding time and a first coefficient K;
sending the latest average judgment time to the terminal for updating by taking T as an updating period;
when the terminal prepares to send a frame of image to the virtual machine, calculating the time interval between the current sending time and the sending time of the previous frame of image, if the time interval is greater than the latest average judgment time, sending the current frame to the virtual machine and decoding, and updating the sending time and acquiring the next frame of image;
if the time interval is smaller than the latest average judgment time, the terminal discards the current frame and simultaneously acquires the next frame of image; this process is repeated until the video capture device is turned off.
2. The method according to claim 1, wherein the video capturing device connected to the terminal is simulated in the virtual machine based on the mapping manner selected by the user, and creating the virtual video capturing device specifically comprises:
acquiring complete relevant information of the video capturing device at a client based on a mapping mode selected by a user, wherein the information comprises the following steps: the device name, hardware ID, image resolution, brightness, contrast, and send to the virtual machine to achieve the effect of fully simulating the video capture device connected to the terminal.
3. The method according to claim 1, wherein the video capture device connected to the terminal is simulated in the virtual machine based on the mapping mode selected by the user to create a virtual video capture device, and the mapping mode selected by the user is specifically divided into:
manual mapping, wherein a user designates video capture equipment in a peripheral equipment list, maps the video capture equipment into a virtual machine and adds the video capture equipment into a mapped equipment list;
and automatically mapping, when an application program in the virtual machine needs to use the video capture equipment, acquiring the searched available video capture equipment in the external equipment list, mapping the available video capture equipment into the virtual machine, and adding the available video capture equipment into the mapped equipment list.
4. The method according to claim 1, wherein the mapping relationship between the video capture device on the terminal and the virtual video capture device in the virtual machine is released according to a specific de-mapping manner, wherein the specific de-mapping manner is specifically divided into:
active demapping: the video capture device is used for appointing the video capture device in the peripheral device list to release the mapping relation;
passive demapping: when the thread of the monitoring device on the terminal detects that the video capturing device is pulled out or lost, the peripheral device list is compared with the mapped device list, devices which do not exist in the peripheral device list are searched, the devices are removed from the mapped device list, and then the mapping relation is relieved.
5. An apparatus for video capture device redirection processing, the apparatus comprising:
the enumeration device unit is used for acquiring a peripheral device list consisting of all video capture devices connected with the current terminal;
the device mapping unit is used for simulating the video capture device connected to the terminal in the virtual machine based on the mapping mode selected by the user and creating a virtual video capture device;
the image transmission unit is used for tracking the processing efficiency of video transmission images through a virtual machine internal decoding strategy after the video self-adaptive mode selected by the user is obtained, and carrying out self-adaptation on the decoding efficiency and the transmission frequency in the virtual machine according to a coordination processing algorithm;
the device de-mapping unit is used for removing the mapping relation between the video capture device on the terminal and the virtual video capture device in the virtual machine according to a specific de-mapping mode;
after the video self-adaptive mode selected by the user is obtained, the processing efficiency of video transmission images is tracked through a virtual machine internal decoding strategy, and the decoding efficiency and the transmission frequency in the virtual machine are self-adapted according to a coordination processing algorithm, specifically:
after a video self-adaptive mode selected by a user is obtained, calculating the average decoding time of each frame of image decoded in the virtual machine within the time T of a first updating period parameter;
the average decoding time is used for generating the average judgment time, and the specific calculation method comprises the following steps: an average decision time is an average decoding time and a first coefficient K;
sending the latest average judgment time to the terminal for updating by taking T as an updating period;
when the terminal prepares to send a frame of image to the virtual machine, calculating the time interval between the current sending time and the sending time of the previous frame of image, if the time interval is greater than the latest average judgment time, sending the current frame to the virtual machine and decoding, and updating the sending time and acquiring the next frame of image;
if the time interval is smaller than the latest average judgment time, the terminal discards the current frame and simultaneously acquires the next frame of image; this process is repeated until the video capture device is turned off.
6. The apparatus according to claim 5, wherein the device mapping unit specifically includes:
the manual mapping unit is used for a user to designate video capture equipment in the peripheral equipment list, map the video capture equipment into the virtual machine and add the video capture equipment into the mapped equipment list;
the automatic mapping unit is used for acquiring the available video capturing equipment which is searched firstly from the external equipment list when an application program in the virtual machine needs to use the video capturing equipment, mapping the available video capturing equipment into the virtual machine and adding the available video capturing equipment into the mapped equipment list;
a simulation device unit: the method is used for acquiring the relevant information of the complete video capture equipment at the client and sending the information to the virtual machine when the virtual video capture equipment is created in the virtual machine, so that the effect of completely simulating the video capture equipment connected to the terminal is achieved.
7. The apparatus according to claim 5, wherein the image transmission unit specifically comprises:
an image decoding unit: the virtual machine is used for decoding the images in the virtual machine and calculating the average decoding time used for decoding a frame of image in a certain time, and the average decoding time is used for calculating the average judgment time and sending the average judgment time to the terminal;
an image processing unit: the time interval is used for calculating the time interval between the time when one frame of image is ready to be transmitted on the terminal and the transmission time of the adjacent image;
a processing coordination unit: and the decoding frequency and the transmission frequency inside the virtual machine are self-adaptive by comparing the average judgment time in the image decoding unit with the time interval in the image processing unit.
8. The apparatus according to claim 5, wherein the device demapping unit specifically includes:
an active demapping unit: the video capture device is used for appointing the video capture device in the peripheral device list to release the mapping relation;
a passive demapping unit: when the thread of the monitoring device on the terminal detects that the video capturing device is pulled out or lost, the peripheral device list is compared with the mapped device list, devices which do not exist in the peripheral device list are searched, the devices are removed from the mapped device list, and then the mapping relation is relieved.
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