WO2017080214A1 - 视频清晰度自适应调节方法、装置与终端设备、存储介质 - Google Patents
视频清晰度自适应调节方法、装置与终端设备、存储介质 Download PDFInfo
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- 238000005516 engineering process Methods 0.000 description 4
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/007—Systems with supplementary picture signal insertion during a portion of the active part of a television signal, e.g. during top and bottom lines in a HDTV letter-box system
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
- H04N7/147—Communication arrangements, e.g. identifying the communication as a video-communication, intermediate storage of the signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/1066—Session management
- H04L65/1083—In-session procedures
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/80—Responding to QoS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/015—High-definition television systems
Definitions
- the embodiments of the present invention relate to the field of communications technologies, and in particular, to a video clarity adaptive adjustment method, apparatus, terminal device, and storage medium.
- video calls have gradually become an indispensable means of communication in people's daily work and life.
- the video resolution is set by a initialization condition, and a fixed video resolution is set, and the resolution of the video remains unchanged during the entire video call.
- the implementation of the existing video call has the following disadvantages: during the call, when the central processing unit (CPU) of the mobile terminal device is used too high, the memory is insufficient, or the network speed is too low, Still according to the initial parameters set before, the video interface will be stuck, flower screen, etc., and in the case that the mobile terminal CPU is overloaded or the wireless network signal is very poor, the video call is usually in a stagnant state. Even the video call is interrupted at any time, which greatly reduces the user experience of the video call service.
- CPU central processing unit
- the embodiment of the invention provides a video clarity adaptive adjustment method, device, terminal device and storage medium, so as to solve the problem that the video call device has a high CPU usage rate or a low network speed during a video call.
- the interface has problems such as stuck, flower screen, etc., by dynamically adjusting the video sharpness parameters to ensure the clarity and smoothness of the video interface.
- An embodiment of the present invention provides a video resolution adaptive adjustment method, which includes: detecting, in a terminal device participating in a video call, a terminal parameter that affects video call quality; and adjusting when the terminal parameter meets a preset condition, adjusting The sharpness parameter of the video; wherein the video
- the resolution parameter includes any one or a combination of the following: video resolution, code rate, and frame rate.
- An embodiment of the present invention provides a video clarity adaptive adjustment apparatus, where the apparatus includes: a detection module configured to detect terminal parameters affecting video call quality in a terminal device participating in a video call; and an adaptive adjustment module configured to And determining, when the terminal parameter meets the preset condition, adjusting a sharpness parameter of the video; wherein the sharpness parameter of the video includes any one or a combination of the following: a resolution, a code rate, and a frame rate of the video.
- An embodiment of the present invention provides a terminal device, including: a detecting component, a memory, and one or more processors; one or more programs are stored in the memory, when executed by one or more processors: the detecting The component is configured to detect a terminal parameter that affects the quality of the video call in the terminal device that participates in the video call, and the processor is configured to adjust the clarity parameter of the video when determining that the terminal parameter meets the preset condition;
- the resolution parameter of the video includes any one or a combination of the following: resolution, code rate, and frame rate of the video.
- An embodiment of the present invention provides another terminal device, including: a processor and a memory; and the memory stores a program that performs the following steps: detecting, in a terminal device participating in a video call, a terminal parameter that affects a video call quality; Adjusting the sharpness parameter of the video when the terminal parameter meets the preset condition; wherein the sharpness parameter of the video includes any one or a combination of the following: resolution, code rate, and frame rate of the video; The device is configured to execute a program stored in the memory.
- An embodiment of the present invention provides a storage medium, where the program for performing the video resolution adaptive adjustment method provided by the foregoing embodiment of the present invention is stored.
- the video clarity adaptive adjustment method and device, the terminal device, and the storage medium provided by the embodiments of the present invention detect terminal parameters affecting video call quality, such as CPU load detection parameters and network bandwidth, in a terminal device participating in a video call.
- terminal parameters affecting video call quality such as CPU load detection parameters and network bandwidth
- the resolution parameter of the video any one or a combination of the code rate, the frame rate and the resolution
- the embodiment of the invention solves the problem that the video interface is stuck, the screen is blocked, or even the call is interrupted due to the high CPU usage rate, insufficient memory or low network speed during the video call.
- FIG. 1 is a schematic flowchart of a video resolution adaptive adjustment method according to an embodiment of the present invention
- Embodiment 1 of a video resolution adaptive adjustment method according to an embodiment of the present invention
- FIG. 3 is a flowchart of Embodiment 2 of a video clarity adaptive adjustment method according to an embodiment of the present disclosure
- FIG. 4 is a schematic structural diagram of an embodiment of a video resolution adaptive adjustment apparatus according to an embodiment of the present invention.
- a video resolution adaptive adjustment method is provided in the embodiment of the present invention. As shown in FIG. 1 , the method includes:
- Step S11 In the terminal device participating in the video call, detecting terminal parameters that affect the quality of the video call;
- detecting a terminal parameter that affects the quality of the video call may be detected by a hardware device in the terminal device, for example, a detector, or may be a software program installed in the terminal device.
- the detection for example, the device performance monitoring program, may also be detected in the prior art manner.
- the method for detecting the terminal parameters affecting the quality of the video call is not specifically limited in the embodiment of the present invention.
- the terminal device may be a computer, a tablet computer, a mobile phone, and other wearable smart devices.
- the terminal parameter includes any one of the following or a combination thereof: current CPU load detection parameters, current memory usage, and current network bandwidth.
- the terminal parameters may also include other parameters, such as the temperature of the CPU, and the like.
- Step S12 Adjusting the sharpness parameter of the video when determining that the terminal parameter meets the preset condition; wherein the sharpness parameter of the video includes any one or a combination of the following: resolution, code rate, and frame rate of the video.
- adjusting the sharpness parameter of the video when determining that the terminal parameter meets the preset condition, includes: reducing the sharpness parameter of the video when determining that the terminal parameter meets the first preset condition; and determining that the terminal parameter satisfies the second When the preset condition is met, increase the sharpness parameter of the video, specifically:
- the first preset condition includes any one of the following or a combination thereof:
- the terminal parameter includes the current CPU load detection parameter, and the current CPU load detection parameter reaches a predetermined peak value; the CPU load detection parameter represents the CPU usage rate of the terminal device, when the current CPU load detection parameter of the terminal device reaches a predetermined peak value, It indicates that the CPU is running at an overload. If the video call is continued with the current resolution, the video call picture may be stuck and the performance of the terminal device may be affected. Therefore, the resolution parameter of the video needs to be reduced.
- the predetermined peak value can be freely set, for example, the predetermined peak value is 90%.
- the terminal parameter includes the current memory usage rate, and the current memory usage rate is greater than the first preset threshold; the memory usage rate indicates the usage of the memory space of the terminal device, and the current memory usage of the terminal device is greater than the first preset.
- the threshold When the threshold is used, it indicates that the memory space of the terminal device is near saturation. If the video call continues to be performed at the current resolution, the video call picture may be stuck and the performance of the terminal device may be affected. Therefore, the definition of the video needs to be reduced.
- the first preset threshold may be freely set, for example, the value of the first preset threshold is 90%.
- the terminal parameter includes the current network bandwidth, and the current network bandwidth is less than the second preset threshold; the current network bandwidth affects the data transmission speed of the terminal device during the video call, when the current network bandwidth is less than the second preset threshold, It indicates that the current network bandwidth is too low. If the video call continues to be performed at the current resolution, the video call picture may be stuck or smeared. Therefore, the resolution parameter of the video needs to be reduced.
- the second preset threshold is free.
- the setting, for example, the value of the second preset threshold is 500K.
- Condition 1, Condition 2, and Condition 3 may be used in combination, or may be used alone, that is, when the terminal parameter satisfies one or more of Condition 1, Condition 2, and Condition 3,
- the resolution parameter of the video needs to be reduced, and the resolution parameter of the video includes: any one of the following or a combination thereof: the resolution, the code rate, and the frame rate of the video. Therefore, in specific implementation, the resolution parameter of the video is reduced, including: The resolution, the code rate, and the frame rate of the video are pre-divided into multiple files according to high to low, respectively, and the resolution, frame rate, and/or code rate of the video are reduced by at least one step.
- the second preset condition includes any one of the following or a combination thereof:
- the terminal parameter includes the current CPU load detection parameter, the current CPU load detection parameter is lower than the predetermined safety value; the CPU load detection parameter represents the CPU usage of the terminal device, when the current CPU load detection parameter of the terminal device is lower than the predetermined
- the security value indicates that the CPU can still process more data, so the clarity parameter of the video can be improved to improve the quality of the video call.
- the predetermined safety value can be freely set, but it is necessary to ensure that the predetermined safety value is less than a predetermined peak value, for example, the predetermined peak value is 40%.
- the terminal parameter includes the current memory usage, and the current memory usage is less than the third preset threshold; the memory usage rate indicates the usage of the memory space of the terminal device, and the current memory usage of the terminal device is less than the third preset.
- the threshold When the threshold is displayed, it indicates that the memory space of the terminal device still has space available, so the definition parameter of the video can be improved to improve the quality of the video call.
- the third preset threshold may be freely set, but the third preset threshold is required to be smaller than the first preset threshold. For example, the value of the third preset threshold is 40%.
- the terminal parameter includes the current network bandwidth, and the current network bandwidth is greater than the fourth preset threshold; the current network bandwidth affects the data transmission speed of the terminal device during the video call, when the current network bandwidth is greater than the fourth preset threshold, It indicates that the current network bandwidth is fast, so the clarity parameter of the video can be improved to improve the quality of the video call.
- the fourth preset threshold may be freely set, but it is required to ensure that the fourth preset threshold is greater than the second preset threshold. For example, the value of the fourth preset threshold is 10M.
- condition A, the condition B, and the condition C may be used in combination, or may be used alone, that is, when the terminal parameter satisfies one or more of the condition A, the condition B, and the condition C, the resolution parameter of the video needs to be improved.
- the resolution parameter of the video includes: any one of the following or a combination thereof: the resolution, the code rate, and the frame rate of the video. Therefore, in specific implementation, the resolution parameter of the video is improved, including: the resolution and code of the video.
- the rate and the frame rate are pre-divided into a plurality of files from high to low, respectively, and the resolution, frame rate, and/or code rate of the video are increased by at least one step.
- Embodiment 1 of a video resolution adaptive adjustment method according to the present invention. As shown in FIG. 2, the method in this embodiment may include:
- Step 101 Detect a current CPU load detection parameter of a terminal device participating in the video call.
- Step 102 Determine, according to the detected current CPU load detection parameter, whether the current CPU load detection parameter reaches or exceeds a predetermined peak value. If it is determined that the current CPU load detection parameter reaches or exceeds a predetermined peak value, perform the step. 104;
- Step 103 it is determined whether the current CPU load detection parameter is lower than a predetermined security value, if it is determined that the predetermined security value is lower than the predetermined security value, step 105 is performed;
- Step 104 Reduce a resolution parameter of the video according to a predetermined adjustment policy.
- Step 105 Enhance the sharpness parameter of the video according to a predetermined adjustment strategy.
- the resolution parameters affecting the real-time video quality and the display effect mainly include the following parameters:
- Video Bitrate 1000 to 2000 bits/second (bit/s), that is, greater than or equal to 1000 bits/s and less than or equal to 2000 bits/s.
- the code rate of the video is divided into the following files: 1000 bit/s, 1100 bit/s, 1200 bit/s, 1300 bit/s, 1400 bit/s, 1500 bit/s, and the like.
- Parameter B video frame rate (Camera FPS): 10 to 20 frames/second, that is, greater than or equal to 10 frames/second and less than or equal to 20 frames/second.
- the frame rate of the video is divided into the following files: 10 frames/second, 11 frames/second, 12 frames/second, 13 frames/second, 14 frames/second, 15 frames/second, and the like.
- Parameter C video resolution (Video Resolution): including the following files: 720P, 480P, 320P.
- the terminal parameters in the video call that affect the video quality and the user's real-time video experience are:
- Parameter 1 CPU Overuse Detection (CPU) parameter, which is mainly used to detect the CPU usage of the terminal device.
- the adjusting the clarity parameter of the video according to the predetermined adjustment policy includes:
- the code rate and the frame rate of the video supported by the terminal device are pre-divided into multiple files (for example, three to six files) according to high to low, according to the value of the current CPU load detection parameter.
- the CPU load detection parameter reaches a predetermined peak value, the resolution, frame rate, and/or code rate of the video are reduced by at least one file;
- the current network can be judged again. Whether the speed meets the lifting condition, if satisfied, the video resolution, frame rate, and/or code rate are increased by at least one step; if not, the video frame rate and/or code rate are increased by at least one file.
- the main adjustment range of the CPU load detection parameter is: (1) a predetermined safety value range, and the predetermined safety value range can be freely set, for example, 40% or less or 40% to 60%; (2) predetermined The peak range, the predetermined peak range can be freely set, for example: 85% to 90% or more, and so on.
- the usage rate of the terminal CPU is detected in real time, and according to the usage rate of the CPU, the definition parameter of the video is adjusted according to a predetermined adjustment policy, including but not limited to the following manners:
- the resolution can be reduced to 480P. If the current resolution is 480P, the resolution can be reduced to 320P. If it is already the lowest value, the corresponding frame rate and code rate will be decreased. One file.
- the current network speed (that is, the current network bandwidth) can be detected to determine whether the current network speed can support the video resolution increase, and if so, improve it.
- the current network speed that is, the current network bandwidth
- the video resolution adaptive adjustment scheme of this embodiment dynamically adjusts the resolution parameter of the video (any one or a combination of the code rate, the frame rate, and the resolution) by the CPU load detection to ensure the video call. Normal operation while ensuring better fluency.
- network bandwidth detection is also performed. If it is determined that the current network bandwidth is insufficient to support the current resolution, the resolution, the code rate, and/or the frame rate are automatically adjusted downward.
- one or more of the resolution, the frame rate and the code rate of the video can be automatically adjusted according to the detection result, thereby giving the user a better video call experience, and the technical solution can All are done through built-in algorithms, eliminating the need for the user to manually adjust various complex parameters.
- FIG. 3 is a flowchart of Embodiment 2 of the video resolution adaptive adjustment method of the present invention, and the technical solutions of the first embodiment and the foregoing Embodiment 1 can be combined with each other.
- the method in this embodiment may include:
- Step 201 Detect a current network bandwidth of the video call.
- Step 202 Determine, according to the detected current network bandwidth, whether the current network bandwidth is lower than a predetermined lower threshold, and the predetermined lower threshold is a second preset threshold, for example, 5 M/s. If yes, perform the step. 204;
- Step 203 Determine whether the current network bandwidth reaches a predetermined higher threshold, the predetermined higher threshold is a fourth preset threshold, and the fourth preset threshold is greater than a second preset threshold, for example, 10 M/s, if yes, Then performing step 205;
- Step 204 Reduce a resolution parameter of the video according to a predetermined adjustment policy.
- Step 205 Enhance the sharpness parameter of the video according to a predetermined adjustment policy.
- the terminal parameters in the video call that affect the video quality and the real-time video experience of the user include:
- the main adjustment range of the video sharpness parameter is:
- Video Bitrate 1000 to 2000 bit/s, that is, greater than or equal to 1000 bit/s and less than or equal to 2000 bit/s.
- the code rate of the video is divided into the following files: 1000 bit/s, 1100 bit/s, 1200 bit/s, 1300 bit/s, 1400 bit/s, 1500 bit/s, and the like.
- Parameter B video frame rate (Camera FPS): 10 to 20 frames/second, that is, greater than or equal to 10 frames/second and less than or equal to 20 frames/second.
- the frame rate of the video is divided into the following files: 10 frames/second, 11 frames/second, 12 frames/second, 13 frames/second, 14 frames/second, 15 frames/second, and the like.
- Parameter C video resolution (Video Resolution): including the following files: 720P, 480P, 320P.
- the network bandwidth detection is also performed, and the adapted resolution range is matched according to the detected network bandwidth to set the initial resolution.
- the initial network bandwidth is between 1M and 2M, that is, the initial network bandwidth is in the interval (1M, 2M)
- the initial network bandwidth is greater than 1M and less than or equal to 2M
- the matching resolution is 720P
- the initial network bandwidth is between 500k and 1M.
- the initial network bandwidth is in the interval (500, 1M)
- the initial network bandwidth is greater than 500K and less than or equal to 1M, suitable for resolution 480P
- initial network When the bandwidth is below 500k, that is, the initial network bandwidth is in the interval [0,500K], the initial network bandwidth is greater than or equal to 0 and less than or equal to 500K, which is suitable for the resolution 320P.
- the frame rate and the code rate are given the highest value, for example, a frame rate of 15 frames/second and a code rate of 1500 bit/s.
- the current network bandwidth is detected in real time, and when it is detected that the current network bandwidth is insufficient to meet the current resolution, the current resolution is decreased by one file.
- the video resolution can be automatically increased when it is detected that the current network bandwidth is improved to meet the increased video resolution.
- network bandwidth monitoring can be performed while CPU load detection is performed. According to CPU load detection and bandwidth monitoring, if it is determined that the current bandwidth is insufficient to support the current resolution, resolution, code rate, and frame rate will be used. One or more of the corresponding ones are automatically down-converted; if it is determined that the CPU is lower than 40%, and the current network speed (network bandwidth) satisfies the condition of video resolution enhancement, one file can be upgraded. Therefore, the method of the embodiment of the invention can dynamically adjust one or more of the resolution, the code rate and the frame rate of the video, thereby giving the user a better video call experience.
- the manner of dynamically adjusting the sharpness parameter of the video according to the CPU usage is similar to the manner of dynamically adjusting the sharpness parameter of the video according to the CPU load detection parameter, and details are not described herein again.
- the current CPU load detection parameter, the CPU usage rate, and the current network bandwidth may be used separately, dynamically adjusting the sharpness parameter of the video, or may be used in combination to dynamically adjust the sharpness parameter of the video, in other implementations of the present invention.
- the terminal parameters may also include other parameters, such as: network delay, and the like.
- a video resolution adaptive adjustment apparatus includes: a detection module configured to detect terminal parameters affecting video call quality in a terminal device participating in a video call; and an adaptive adjustment module configured to Adjusting the sharpness parameter of the video when determining that the terminal parameter satisfies the preset condition; wherein the sharpness parameter of the video includes any one or a combination of the following: resolution, code rate, and frame rate of the video.
- the terminal parameter includes any one or a combination of the following: a current CPU CPU load detection parameter, a current memory usage rate, and a current network bandwidth.
- the adaptive adjustment module is specifically configured to: reduce the clearing of the video when determining that the terminal parameter meets the first preset condition a clarity parameter; wherein the first preset condition comprises any one of the following or a combination thereof: the terminal parameter includes a current CPU load detection parameter, the current CPU load detection parameter reaches a predetermined peak value; the terminal parameter includes a current memory usage rate, and the current The memory usage is greater than the first preset threshold; the terminal parameter includes the current network bandwidth, and the current network bandwidth is less than the second preset threshold.
- the adaptive adjustment module reduces the resolution parameter of the video, and the specific configuration is: the resolution, the code rate, and the frame rate of the video are respectively according to high to low. Pre-divided into multiple files, reducing the resolution, frame rate, and/or code rate of the video by at least one step.
- the adaptive adjustment module is specifically configured to: when determining that the terminal parameter meets the second preset condition, improve the clarity parameter of the video; wherein, the second The preset condition includes any one or a combination of the following: the terminal parameter includes a current CPU load detection parameter, the current CPU load detection parameter is lower than a predetermined security value; the terminal parameter includes a current memory usage, and the current memory usage is less than the first
- the third preset threshold is used.
- the terminal parameter includes the current network bandwidth, and the current network bandwidth is greater than the fourth preset threshold.
- the third preset threshold is smaller than the first preset threshold, and the fourth preset threshold is greater than the second preset threshold.
- the adaptive adjustment module increases the resolution parameter of the video, and the specific configuration is: respectively, the resolution, the code rate, and the frame rate of the video are in accordance with high to low. Pre-divided into multiple files to increase the resolution, frame rate and/or code rate of the video by at least one step.
- Embodiment 1 of a video resolution adaptive adjustment apparatus may include: a detection module, an adaptive adjustment module, and a setting module.
- the detecting module is configured to detect a current CPU load detection parameter of the terminal device participating in the video call.
- the adaptive adjustment module is configured to determine whether the current CPU load detection parameter reaches a predetermined peak value, and if it is determined that the predetermined peak value is reached, the resolution parameter of the video is reduced according to a predetermined adjustment strategy; wherein the resolution of the video is Parameters, including any one or combination of the following: video resolution, code rate, and frame rate.
- the adaptive adjustment module may be further configured to: determine whether the current CPU load detection parameter is lower than a predetermined safety value, and if it is determined that the predetermined safety value is lower than A fixed adjustment strategy that enhances the sharpness parameters of the video.
- the setting module is configured to set a predetermined adjustment policy, including: pre-dividing the code rate and the frame rate of the video into multiple files according to the current CPU load detection parameter,
- the resolution, frame rate, and/or code rate of the video are reduced by at least one file
- the resolution, frame rate, and/or code rate of the video are increased by at least one step; and/or,
- the CPU load detection parameter is lower than the predetermined security value, it is determined whether the current network speed (network bandwidth) satisfies the predetermined condition, and if satisfied, the resolution of the video is increased by one file; if not, the video is The frame rate and/or code rate are increased by at least one file.
- the device in this embodiment may be used to implement the technical solution of the method embodiment shown in FIG. 2, and the implementation principle and technical effects are similar, and details are not described herein again.
- a schematic diagram of the structure of the second embodiment of the video definition adaptive adjustment apparatus of the present invention is similar to that of FIG. 4, and includes: a detection module, an adaptive module, and a setting module.
- the detection module in this embodiment is mainly configured to: detect the current network bandwidth
- the adaptive adjustment module is configured to: if it is determined that the current network bandwidth is lower than a predetermined lower threshold, that is, the current network bandwidth is less than the second preset threshold, the resolution parameter of the video is reduced according to a predetermined adjustment policy; If it is determined that the current network bandwidth reaches a predetermined higher threshold, that is, the current network bandwidth is greater than the fourth preset threshold, the clarity parameter of the video is raised according to a predetermined adjustment policy, where the second preset threshold and the first The fourth preset threshold may be freely set, but the fourth preset threshold is required to be greater than the second preset threshold. For example, the second preset threshold is 5 M/s, and the fourth preset threshold is 10 M/s.
- the setting module of the embodiment is configured to set a predetermined adjustment policy, including: pre-dividing the code rate and the frame rate of the video into multiple files according to the current network bandwidth according to the current network bandwidth.
- the resolution, frame rate, and/or code rate of the video are reduced by at least one file
- the resolution, frame rate, and/or code rate of the video is increased by at least one step.
- the setting module is further configured to: when the video call is turned on, the frame rate and the code of the video The rate is set to the highest value.
- the detecting module is further configured to detect a network bandwidth when the video call is turned on;
- the setting module is further configured to set an initial resolution according to the following policy: when the initial network bandwidth is 1M to 2M, that is, the initial network bandwidth is in the interval (1M, 2M), and the initial network bandwidth is greater than 1M and less than or equal to 2M,
- the initial resolution is 720P;
- the initial network bandwidth is 500k ⁇ 1M, that is, the initial network bandwidth is in the interval (500, 1M), the initial network bandwidth is greater than 500K and less than or equal to 1M, and the initial resolution is set to 480P; initial When the network bandwidth is below 500k, that is, the initial network bandwidth is in the interval [0,500K], the initial network bandwidth is greater than or equal to 0 and less than or equal to 500K, and the initial resolution is set to 320P.
- the device of this embodiment may be used to implement the technical solution of the method embodiment shown in FIG. 3, and the implementation principle and technical effects are similar, and details are not described herein again, and the device of the embodiment and the foregoing device embodiment 1 Programs can be combined with each other.
- the video sharpness adaptive adjustment terminal of the embodiment of the present invention includes the video sharpness adaptive adjustment device as described above, and correspondingly, the technical solution of the method embodiment of any one of FIG. 2 and FIG. 3 can be executed, and the implementation principle and technology thereof are implemented. The effect is similar and will not be described here.
- a terminal device provided by an embodiment of the present invention includes: a detecting component, a memory, and one or more processors; one or more programs are stored in the memory, when executed by one or more processors: detecting components Configuring, in the terminal device participating in the video call, detecting a terminal parameter that affects the quality of the video call; the processor is configured to adjust a sharpness parameter of the video when determining that the terminal parameter meets the preset condition; wherein the video sharpness parameter , including any one or a combination of the following: video resolution, code rate, and frame rate.
- the terminal parameter includes any one or a combination of the following: current CPU load detection parameter, current memory usage, and current network bandwidth. .
- the processor is specifically configured to: when determining that the terminal parameter meets the first preset condition, reduce a resolution parameter of the video; wherein, the first pre- The condition includes any one of the following or a combination thereof: the terminal parameter includes a current CPU load detection parameter, and the current CPU load detection parameter reaches a predetermined peak value; the terminal parameter includes a current memory usage rate, and the current memory usage rate is greater than the first preset. Threshold; the terminal parameter includes the current network bandwidth, and the current network bandwidth is less than the second preset threshold.
- the processor The resolution parameter of the video is reduced, and the specific configuration is: pre-dividing the resolution, the code rate, and the frame rate of the video into multiple files according to high to low, and reducing the resolution, frame rate, and/or code rate of the video at least. One file.
- the processor is specifically configured to: when determining that the terminal parameter meets the second preset condition, improve a resolution parameter of the video; wherein, the second pre- The condition includes any one of the following or a combination thereof: the terminal parameter includes a current CPU load detection parameter, the current CPU load detection parameter is lower than a predetermined security value; the terminal parameter includes a current memory usage rate, and the current memory usage rate is less than the third The preset threshold is set; the terminal parameter includes the current network bandwidth, and the current network bandwidth is greater than the fourth preset threshold; wherein the third preset threshold is smaller than the first preset threshold, and the fourth preset threshold is greater than the second preset threshold.
- the processor improves the resolution parameter of the video, and the specific configuration is: pre-determining the resolution, the code rate, and the frame rate of the video according to high to low. Divided into multiple files, the video's resolution, frame rate and / or code rate is increased by at least one file.
- the processor is further configured to set the frame rate and the code rate of the video to the highest value when the video call is turned on.
- the detecting component is further configured to detect the network bandwidth when the video call is turned on; the processor is further configured to set the initial resolution of the video according to the following policy: When the initial network bandwidth is in the interval (1M, 2M), the initial resolution is set to 720P; when the initial network bandwidth is in the interval (500K, 1M), the initial resolution is set to 480P; when the initial network bandwidth is in the interval [ At 0,500K], the initial resolution is set to 320P.
- Another terminal device includes: a processor and a memory; and the memory stores a program for performing the following steps: detecting, in a terminal device participating in the video call, a terminal parameter that affects the quality of the video call; determining the terminal Adjusting the sharpness parameter of the video when the parameter meets the preset condition; wherein the sharpness parameter of the video includes any one or a combination of the following: resolution, code rate, and frame rate of the video; and the processor is configured to perform memory storage program of.
- the aforementioned program can be stored in a calculation
- the machine can be read from the storage medium.
- the program when executed, performs the steps including the foregoing method embodiments; and the foregoing storage medium includes various media that can store program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.
- the device embodiments described above are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located in one place. Or it can be distributed to at least two network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without deliberate labor.
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Abstract
一种视频清晰度自适应调节方法、装置与终端设备、存储介质，根据影响视频通话质量的终端参数，动态地自适应调节视频的清晰度参数，从而保证视频通话的正常运行，同时保证更好的流畅度。所述方法包括：在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
Description
本申请要求在2015年11月09日提交中国专利局、申请号为201510757886.9、申请名称为“视频清晰度自适应调节方法、装置及终端”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
本发明实施例涉及通讯技术领域，尤其涉及一种视频清晰度自适应调节方法、装置与终端设备、存储介质。
随着无线通讯技术的高速发展，目前，视频通话已逐渐成为人们日常工作和生活中必不可少的通讯手段。现有的视频通话技术，视频分辨率是通过初始化条件，设置一个固定的视频分辨率，在整次视频通话过程中，视频的分辨率保持不变。
现有视频通话的实现方式存在以下弊端：在通话过程中，当出现移动终端设备的中央处理器(Central Processing Unit，CPU)使用率过高，内存不足，或者网速过低等情况时，如果仍按照之前设定好的初始参数，则会使视频界面出现卡顿，花屏等情况，并且，在移动终端CPU负载过重或者无线网络信号非常差的情况下，通常会使视频通话处于停滞状态，甚至导致视频通话随时中断，这大大降低了视频通话业务的用户体验。
发明内容
本发明实施例提供一种视频清晰度自适应调节方法、装置与终端设备、存储介质，以解决在视频通话过程中由于视频通话设备的CPU使用率过高或者网速较低等原因，导致视频界面出现卡顿、花屏等情况的问题，通过动态调节视频清晰度参数，保证视频界面的清晰度和流畅度。
本发明实施例提供一种视频清晰度自适应调节方法，该方法包括：在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频
的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
本发明实施例提供一种视频清晰度自适应调节装置，该装置包括：检测模块，配置为在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；自适应调节模块，配置为在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
本发明实施例提供一种终端设备，包括：检测元件、存储器以及一个或多个处理器；一个或者多个程序存储在所述存储器中，当被一个或者多个处理器执行时：所述检测元件，配置为在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；所述处理器，配置为在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
本发明实施例提供另一种终端设备，包括：处理器和存储器；所述存储器中存储有执行以下步骤的程序：在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率；所述处理器配置为执行所述存储器中存储的程序。
本发明实施例提供一种存储介质，所述存储介质中存储有执行本发明上述实施例提供的视频清晰度自适应调节方法的程序。
本发明实施例提供的视频清晰度自适应调节方法、装置与终端设备、存储介质，通过在参与视频通话的终端设备中，检测影响视频通话质量的终端参数，例如：CPU负载检测参数以及网络带宽等，根据影响视频通话质量的终端参数，动态的自适应调节视频的清晰度参数(码率、帧率和分辨率中的任意一个或其组合)，从而保证视频通话的正常运行，同时保证更好的流畅度。本发明实施例解决了视频通话过程中，因CPU使用率过高、内存不足或者网速过低等情况导致视频界面卡顿、花屏，甚至通话中断等的问题。
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本发明实施例提供的一种视频清晰度自适应调节方法的示意流程图；
图2为本发明实施例提供的视频清晰度自适应调节方法实施例一的流程图；
图3为本发明实施例提供的视频清晰度自适应调节方法实施例二的流程图；
图4为本发明实施例提供的视频清晰度自适应调节装置实施例的结构示意图。
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明实施例提供的一种视频清晰度自适应调节方法，如图1所示，该方法包括：
步骤S11，在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；
具体实施时，在参与视频通话的终端设备中，检测影响视频通话质量的终端参数，可以通过终端设备中的硬件设备来检测，例如：探测仪，也可以通过安装在终端设备中的软件程序来检测，例如：设备性能监视程序，还可以采用现有技术中方式进行检测，本发明实施例对影响视频通话质量的终端参数的检测方法不做具体限定。其中，终端设备可以是计算机、平板电脑、手机以及其它可穿戴智能设备等。
本发明实施例中，终端参数，包括以下任意一个或其组合：当前的
CPU负载检测参数、当前的内存使用率和当前的网络带宽，当然，在本发明的其它实施例中，终端参数还可以包括其它参数，例如：CPU的温度等。
步骤S12，在确定终端参数满足预设条件时，调节视频的清晰度参数；其中，视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
具体实施时，在确定终端参数满足预设条件时，调节视频的清晰度参数，包括：在确定终端参数满足第一预设条件时，降低视频的清晰度参数；以及在确定终端参数满足第二预设条件时，提高视频的清晰度参数，具体来说：
第一预设条件包括以下任意一个或其组合：
条件一、终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数达到预定的峰值；CPU负载检测参数表征终端设备的CPU使用率，当终端设备当前的CPU负载检测参数达到预定峰值时，表明CPU在超负荷运行，如果继续以当前的清晰度进行视频通话，可能造成视频通话画面卡顿等现象，而且影响终端设备的性能，因此，需要降低视频的清晰度参数。其中，预定的峰值可以自由设定，例如：预定的峰值为90％。
条件二、终端参数包括当前的内存使用率，当前的内存使用率大于第一预设阈值；内存使用率表征终端设备的内存空间的使用情况，当终端设备当前的内存使用率大于第一预设阈值时，表明终端设备的内存空间使用已接近饱和，如果继续以当前的清晰度进行视频通话，可能造成视频通话画面卡顿等现象，而且影响终端设备的性能，因此，需要降低视频的清晰度参数。其中，第一预设阈值可以自由设定，例如：第一预设阈值的取值为90％。
条件三、终端参数包括当前的网络带宽，当前的网络带宽小于第二预设阈值；当前的网络带宽影响终端设备视频通话时的数据传输速度，在当前的网络带宽小于第二预设阈值时，表明当前的网络带宽过低，如果继续以当前的清晰度进行视频通话，可能造成视频通话画面卡顿、花屏等现象，因此，需要降低视频的清晰度参数，其中，第二预设阈值可以自由设定，例如，第二预设阈值的取值为500K。
具体实施时，条件一、条件二和条件三可以结合使用，也可以单独使用，也即当终端参数满足条件一、条件二以及条件三中的一个或多个时，
需要降低视频的清晰度参数，而视频的清晰度参数包括：以下任意一种或其组合：视频的分辨率、码率和帧率，因此，具体实施时，降低视频的清晰度参数，包括：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少降低一档。
第二预设条件包括以下任意一个或其组合：
条件A、终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数低于预定的安全值；CPU负载检测参数表征终端设备的CPU使用率，当终端设备当前的CPU负载检测参数低于预定的安全值时，表明CPU仍可处理更多的数据，因此，可以提高视频的清晰度参数，以提高视频通话质量。其中，预定的安全值可以自由设定，但需要保证预定的安全值小于预定的峰值，例如：预定的峰值为40％。
条件B、终端参数包括当前的内存使用率，当前的内存使用率小于第三预设阈值；内存使用率表征终端设备的内存空间的使用情况，当终端设备当前的内存使用率小于第三预设阈值时，表明终端设备的内存空间仍有空间可以使用，因此，可以提高视频的清晰度参数，以提高视频通话质量。其中，第三预设阈值可以自由设定，但需要保证第三预设阈值小于第一预设阈值，例如：第三预设阈值的取值为40％。
条件C、终端参数包括当前的网络带宽，当前的网络带宽大于第四预设阈值；当前的网络带宽影响终端设备视频通话时的数据传输速度，在当前的网络带宽大于第四预设阈值时，表明当前的网络带宽较快，因此，可以提高视频的清晰度参数，以提高视频通话质量。其中，第四预设阈值可以自由设定，但需要保证第四预设阈值大于第二预设阈值，例如，第四预设阈值的取值为10M。
具体实施时，条件A、条件B和条件C可以结合使用，也可以单独使用，也即当终端参数满足条件A、条件B以及条件C中的一个或多个时，需要提高视频的清晰度参数，而视频的清晰度参数包括：以下任意一种或其组合：视频的分辨率、码率和帧率，因此，具体实施时，提高视频的清晰度参数，包括：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少提高一档。
下面结合具体的实施例对本发明实施例提供的视频清晰度自适应调节方法进行说明。
图2为本发明视频清晰度自适应调节方法实施例一的流程图，如图2所示，本实施例的方法可以包括：
步骤101、检测参与视频通话的终端设备当前的CPU负载检测参数；
步骤102、根据检测到的当前的CPU负载检测参数，判断当前的CPU负载检测参数是否达到或高于预定的峰值，如果判断出当前的CPU负载检测参数达到或高于预定的峰值，则执行步骤104；
步骤103、判断当前的CPU负载检测参数是否低于预定的安全值，如果判断出低于预定的安全值，则执行步骤105；
步骤104、按照预定的调节策略，降低视频的清晰度参数；
步骤105、按照预定的调节策略，提升视频的清晰度参数。
本发明实施例中，影响实时视频质量和显示效果的清晰度参数，主要有如下参数：
参数A、视频的码率(Video Bitrate)：1000～2000比特/秒(bit/s)，也即大于或等于1000bit/s且小于或等于2000bit/s。本实施例中，将视频的码率分为如下几档：1000bit/s、1100bit/s、1200bit/s、1300bit/s、1400bit/s、1500bit/s等。
参数B、视频的帧率(Camera FPS)：10～20帧/秒，也即大于或等于10帧/秒且小于或等于20帧/秒。本实施例中，将视频的帧率分为如下几档：10帧/秒、11帧/秒、12帧/秒、13帧/秒、14帧/秒、15帧/秒等。
参数C、视频的分辨率(Video Resolution)：包括如下几档：720P、480P、320P。
而视频通话中影响视频质量及用户实时视频体验效果的终端参数有：
参数1、CPU负载检测(CPU Overuse Detection)参数，该参数主要用于检测终端设备CPU的使用率。
本实施例中，所述的按照预定的调节策略，调节视频的清晰度参数，具体包括：
将终端设备支持的视频的码率和帧率分别按照由高到低预先划分为多个档(例如三档到六档不等)，根据所述当前的CPU负载检测参数的值，
如果CPU负载检测参数达到预定的峰值，则将视频的分辨率、帧率和/或码率至少降低一档；
如果CPU负载检测参数低于预定的安全值，则可以再判断当前的网
速是否满足提升条件，如满足则将视频的分辨率、帧率和/或码率至少提升一档；如不满足则将视频的帧率和/或码率至少提升一档。
本实施例中，CPU负载检测参数的主要调节范围有：(1)预定的安全值范围，预定的安全值范围可以自由设定，例如：40％以下或者40％～60％；(2)预定的峰值范围，预定的峰值范围可以自由设定，例如：85％～90％或者90％以上，等等。
下面采用具体的应用示例，对图2所示方法实施例的技术方案进行详细说明。具体地，在视频通话过程中，实时检测终端CPU的使用率，并根据CPU的使用率，按照预定的调节策略，对视频的清晰度参数进行调节，包括但不限于以下方式：
1)当CPU使用率超过90％时，则将视频的分辨率下降一档。
例如，当前的分辨率为720P，则可以适当将分辨率降到480P，当前分辨率为480P，则可以将分辨率降到320P；如果已经是最低值，则将对应的帧率和码率下降一档。
2)当CPU使用率为85％～90％时，则将视频的帧率和码率均下降一档，如果已经为最低，则保持不变。
3)当CPU使用率为40％～60％时，则将当前的帧率和码率均增加一档。
4)当CPU使用率低于40％的情况下，可以检测当前网速(也即当前的网络带宽)，判断当前的网速是否能够支持视频分辨率提升一档，如果可以，则将其提升一档。
本实施例的视频清晰度自适应调节方案，通过CPU负载检测来动态的自适应调节视频的清晰度参数(码率、帧率和分辨率中的任意一个或其组合)，来保证视频通话的正常运行，同时保证更好的流畅度。
此外，在进行CPU负载检测的同时，还进行网络带宽检测，如果判断出当前的网络带宽不足以支持当前的分辨率，则将分辨率、码率和/或帧率对应自动下调。
通过上述实时视频清晰度自适应调节方案，能够自动根据检测结果调节视频的分辨率、帧率和码率中的一个或多个，从而来给用户更好的视频通话体验，而且此技术方案可以全部通过程序内置算法完成，无需用户手动调节各种复杂参数。
图3为本发明视频清晰度自适应调节方法实施例二的流程图，本实施例与前述实施例一的技术方案之间可以相互结合。如图3所示，本实施例的方法可以包括：
步骤201、检测视频通话当前的网络带宽；
步骤202、根据检测到的当前的网络带宽，判断当前的网络带宽是否低于预定的较低阈值，预定的较低阈值为第二预设阈值，例如：5M/s，如果是，则执行步骤204；
步骤203、判断当前的网络带宽是否达到预定的较高阈值，预定的较高阈值为第四预设阈值，且第四预设阈值大于第二预设阈值，例如：10M/s，如果是，则执行步骤205；
步骤204、按照预定的调节策略，降低视频的清晰度参数；
步骤205、按照预定的调节策略，提升视频的清晰度参数。
其中，视频通话中影响视频质量及用户实时视频体验效果的终端参数，还包括：
参数2、网络带宽。
本实施例中，视频清晰度参数的主要调节范围有：
参数A、视频的码率(Video Bitrate)：1000～2000bit/s，也即大于或等于1000bit/s且小于或等于2000bit/s。本实施例中，将视频的码率分为如下几档：1000bit/s、1100bit/s、1200bit/s、1300bit/s、1400bit/s、1500bit/s等。
参数B、视频的帧率(Camera FPS)：10～20帧/秒，也即大于或等于10帧/秒且小于或等于20帧/秒。本实施例中，将视频的帧率分为如下几档：10帧/秒、11帧/秒、12帧/秒、13帧/秒、14帧/秒、15帧/秒等。
参数C、视频的分辨率(Video Resolution)：包括如下几档：720P、480P、320P。
优选地，本实施例中，在视频通话开启时，还通过网络带宽检测，根据检测到的网络带宽匹配相适应的分辨率范围，以设定初始的分辨率。例如，初始网络带宽在1M～2M时，也即初始网络带宽处于区间(1M，2M]，初始网络带宽大于1M且小于或等于2M，适合匹配分辨率720P；初始网络带宽在在500k～1M时，也即初始网络带宽处于区间(500，1M]，初始网络带宽大于500K且小于或等于1M，适合分辨率480P；初始网络
带宽在500k以下时，也即初始网络带宽处于区间[0，500K]，初始网络带宽大于或等于0且小于或等于500K，适用于分辨率320P。
此外，优选地，在视频通话开启时，帧率和码率都给最高档的值，例如:帧率15帧/秒、码率：1500bit/s。
本实施例中，在视频通话过程中，实时检测当前的网络带宽，当检测到当前的网络带宽不足以满足当前的分辨率时，则将当前的分辨率下降一档。当检测到当前的网络带宽改善到满足提升视频分辨率时，可以自动提升视频分辨率。
此外，还可以在进行CPU负载检测的同时，进行网络带宽监控，根据CPU负载检测和带宽监控的情况，如果判断出当前带宽不足以支持当前的分辨率，则将分辨率、码率和帧率中的一个或多个对应自动下调；如果判断出CPU低于40％，且当前网速(网络带宽)满足视频分辨率提升的条件，则可以提升一档。因而，采用本发明实施例的方法能够动态调节视频的分辨率、码率和帧率中的一个或多个，带给用户更好的视频通话体验。
需要说明的是，根据CPU使用率动态调节视频的清晰度参数的方式与根据CPU负载检测参数动态调节视频的清晰度参数的方式类似，此处不再赘述。在具体实施时，当前的CPU负载检测参数、CPU使用率和当前的网络带宽可以单独使用，动态调节视频的清晰度参数，也可以结合使用，动态调节视频的清晰度参数，在本发明其它实施例中，终端参数还可以包括其它的参数，例如：网络延迟等。
本发明实施例提供的一种视频清晰度自适应调节装置，该装置包括：检测模块，配置为在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；自适应调节模块，配置为在确定终端参数满足预设条件时，调节视频的清晰度参数；其中，视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
在一种可能的实施方式中，本发明实施例提供的装置中，终端参数，包括以下任意一个或其组合：当前的中央处理器CPU负载检测参数、当前的内存使用率和当前的网络带宽。
在一种可能的实施方式中，本发明实施例提供的装置中，自适应调节模块，具体配置为：在确定终端参数满足第一预设条件时，降低视频的清
晰度参数；其中，第一预设条件包括以下任意一个或其组合：终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数达到预定的峰值；终端参数包括当前的内存使用率，当前的内存使用率大于第一预设阈值；终端参数包括当前的网络带宽，当前的网络带宽小于第二预设阈值。
在一种可能的实施方式中，本发明实施例提供的装置中，自适应调节模块降低视频的清晰度参数，具体配置为：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少降低一档。
在一种可能的实施方式中，本发明实施例提供的装置中，自适应调节模块，具体配置为：在确定终端参数满足第二预设条件时，提高视频的清晰度参数；其中，第二预设条件包括以下任意一个或其组合：终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数低于预定的安全值；终端参数包括当前的内存使用率，当前的内存使用率小于第三预设阈值；终端参数包括当前的网络带宽，当前的网络带宽大于第四预设阈值；其中，第三预设阈值小于第一预设阈值，第四预设阈值大于第二预设阈值。
在一种可能的实施方式中，本发明实施例提供的装置中，自适应调节模块提高视频的清晰度参数，具体配置为：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少提高一档。
图4为本发明视频清晰度自适应调节装置实施例一的结构示意图，如图4所示，本实施例的装置可以包括：检测模块，自适应调节模块和设置模块。
其中，检测模块，配置为检测参与视频通话的终端设备当前的CPU负载检测参数。
自适应调节模块，配置为判断当前的CPU负载检测参数是否达到预定的峰值，如果判断出达到预定的峰值，则按照预定的调节策略，降低视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一个或其组合：视频的分辨率、码率和帧率。
进一步地，自适应调节模块还可以配置为，判断当前的CPU负载检测参数是否低于预定的安全值，如果判断出低于预定的安全值，则按照预
定的调节策略，提升视频的清晰度参数。
设置模块主要配置为，设置预定的调节策略，包括：将视频的码率和帧率按照由高到低预先划分为多个档，根据所述当前的CPU负载检测参数的值，
如果判断出CPU负载检测参数达到预定的峰值，则将视频的分辨率、帧率和/或码率至少降低一档；
如果判断出CPU负载检测参数低于预定的安全值，则将视频的分辨率、帧率和/或码率至少提升一档；和/或，
如果判断出CPU负载检测参数低于预定的安全值，再判断当前的网速(网络带宽)是否满足预定条件，如果满足，则将视频的分辨率提升一档；如果不满足，则将视频的帧率和/或码率至少提升一档。
本实施例的装置，可以用于执行图2所示方法实施例的技术方案，其实现原理和技术效果类似，此处不再赘述。
本发明视频清晰度自适应调节装置实施例二的结构示意图，与图4类似，也包括：检测模块，自适应模块，和设置模块。
本实施例装置与前述实施例一装置的区别在于，本实施例的检测模块，主要配置为：检测当前的网络带宽；
自适应调节模块，配置为：如果判断出当前的网络带宽低于预定的较低阈值，也即当前的网络带宽小于第二预设阈值，则按照预定的调节策略，降低视频的清晰度参数；如果判断出当前的网络带宽达到预定的较高阈值，也即当前的网络带宽大于第四预设阈值，则按照预定的调节策略，提升视频的清晰度参数，其中，第二预设阈值和第四预设阈值可以自由设定，但需要保证第四预设阈值大于第二预设阈值，例如：第二预设阈值为5M/s，第四预设阈值为10M/s。
本实施例的设置模块，配置为设置预定的调节策略，包括：将视频的码率和帧率按照由高到低预先划分为多个档，根据当前的网络带宽，
如果判断出当前的网络带宽低于预定的较低阈值，则将视频的分辨率、帧率和/或码率至少降低一档；
如果判断出当前的网络带宽达到预定的较高阈值，则将视频的分辨率、帧率和/或码率至少提升一档。
所述设置模块还配置为，在视频通话开启时，将所述视频的帧率和码
率设置为最高档的值。
所述检测模块还配置为，在视频通话开启时，检测网络带宽；
所述设置模块还配置为，按照如下策略设置初始分辨率：初始网络带宽在1M～2M时，也即初始网络带宽处于区间(1M，2M]，初始网络带宽大于1M且小于或等于2M，设定初始分辨率为720P；初始网络带宽在500k～1M时，也即初始网络带宽处于区间(500，1M]，初始网络带宽大于500K且小于或等于1M，设定初始分辨率为时480P；初始网络带宽在500k以下时，也即初始网络带宽处于区间[0，500K]，初始网络带宽大于或等于0且小于或等于500K，设定初始分辨率为320P。
本实施例的装置，可以用于执行图3所示方法实施例的技术方案，其实现原理和技术效果类似，此处不再赘述，并且，本实施例的装置与前述装置实施例一的技术方案之间可以相互结合。
本发明实施例的视频清晰度自适应调节终端，包括如上的视频清晰度自适应调节装置，其对应地，可以执行图2、图3中任一方法实施例的技术方案，其实现原理和技术效果类似，此处不再赘述。
本发明实施例提供的一种终端设备，包括：检测元件、存储器以及一个或多个处理器；一个或者多个程序存储在所述存储器中，当被一个或者多个处理器执行时：检测元件，配置为在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；处理器，配置为在确定终端参数满足预设条件时，调节视频的清晰度参数；其中，视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
在一种可能的实施方式中，本发明实施例提供的终端设备中，终端参数，包括以下任意一个或其组合：当前的中央处理器CPU负载检测参数、当前的内存使用率和当前的网络带宽。
在一种可能的实施方式中，本发明实施例提供的终端设备中，处理器，具体配置为：在确定终端参数满足第一预设条件时，降低视频的清晰度参数；其中，第一预设条件包括以下任意一个或其组合：终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数达到预定的峰值；终端参数包括当前的内存使用率，当前的内存使用率大于第一预设阈值；终端参数包括当前的网络带宽，当前的网络带宽小于第二预设阈值。
在一种可能的实施方式中，本发明实施例提供的终端设备中，处理器
降低视频的清晰度参数，具体配置为：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少降低一档。
在一种可能的实施方式中，本发明实施例提供的终端设备中，处理器，具体配置为：在确定终端参数满足第二预设条件时，提高视频的清晰度参数；其中，第二预设条件包括以下任意一个或其组合：终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数低于预定的安全值；终端参数包括当前的内存使用率，当前的内存使用率小于第三预设阈值；终端参数包括当前的网络带宽，当前的网络带宽大于第四预设阈值；其中，第三预设阈值小于第一预设阈值，第四预设阈值大于第二预设阈值。
在一种可能的实施方式中，本发明实施例提供的终端设备中，处理器提高视频的清晰度参数，具体配置为：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少提高一档。
在一种可能的实施方式中，本发明实施例提供的终端设备中，处理器，还配置为在视频通话开启时，将视频的帧率和码率设置为最高档的值。
在一种可能的实施方式中，本发明实施例提供的终端设备中，检测元件还配置为，在视频通话开启时，检测网络带宽；处理器还配置为按照如下策略设置视频的初始分辨率：当初始网络带宽处于区间(1M，2M]时，设定初始分辨率为720P；当初始网络带宽处于区间(500K，1M]时，设定初始分辨率为时480P；当初始网络带宽处于区间[0，500K]时，设定初始分辨率为320P。
本发明实施例提供的另一种终端设备，包括：处理器和存储器；存储器中存储有执行以下步骤的程序：在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；在确定终端参数满足预设条件时，调节视频的清晰度参数；其中，视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率；处理器配置为执行存储器中存储的程序。
本领域普通技术人员可以理解：实现上述各方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成。前述的程序可以存储于一计算
机可读取存储介质中。该程序在执行时，执行包括上述各方法实施例的步骤；而前述的存储介质包括：ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
以上所描述的装置实施例仅仅是示意性的，其中作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到至少两个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
最后应说明的是：以上各实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述各实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。
Claims (20)
- 一种视频清晰度自适应调节方法，其特征在于，该方法包括：在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
- 根据权利要求1所述的方法，其特征在于，所述终端参数，包括以下任意一个或其组合：当前的中央处理器CPU负载检测参数、当前的内存使用率和当前的网络带宽。
- 根据权利要求2所述的方法，其特征在于，在确定所述终端参数满足预设条件时，调节视频的清晰度参数，包括：在确定所述终端参数满足第一预设条件时，降低视频的清晰度参数；其中，所述第一预设条件包括以下任意一个或其组合：所述终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数达到预定的峰值；所述终端参数包括当前的内存使用率，当前的内存使用率大于第一预设阈值；所述终端参数包括当前的网络带宽，当前的网络带宽小于第二预设阈值。
- 根据权利要求3所述的方法，其特征在于，所述降低视频的清晰度参数，包括：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少降低一档。
- 根据权利要求2-4中任一项所述的方法，其特征在于，在确定所述终端参数满足预设条件时，调节视频的清晰度参数，包括：在确定所述终端参数满足第二预设条件时，提高视频的清晰度参数；其中，所述第二预设条件包括以下任意一个或其组合：所述终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数低于预定的安全值；所述终端参数包括当前的内存使用率，当前的内存使用率小于第三预设阈值；所述终端参数包括当前的网络带宽，当前的网络带宽大于第四预设阈值；其中，所述第三预设阈值小于所述第一预设阈值，所述第四预设阈值大于所述第二预设阈值。
- 根据权利要求5所述的方法，其特征在于，所述提高视频的清晰度参数，包括：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少提高一档。
- 一种视频清晰度自适应调节装置，其特征在于，该装置包括：检测模块，配置为在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；自适应调节模块，配置为在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
- 根据权利要求7所述的装置，其特征在于，所述终端参数，包括以下任意一个或其组合：当前的中央处理器CPU负载检测参数、当前的内存使用率和当前的网络带宽。
- 根据权利要求8所述的装置，其特征在于，所述自适应调节模块，具体配置为：在确定所述终端参数满足第一预设条件时，降低视频的清晰度参数；其中，所述第一预设条件包括以下任意一个或其组合：所述终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数达到预定的峰值；所述终端参数包括当前的内存使用率，当前的内存使用率大于第一预设阈值；所述终端参数包括当前的网络带宽，当前的网络带宽小于第二预设阈值。
- 根据权利要求9所述的装置，其特征在于，所述自适应调节模块降低视频的清晰度参数，具体配置为：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少降低一档。
- 根据权利要求8-10中任一项所述的装置，其特征在于，所述自适应调节模块，具体配置为：在确定所述终端参数满足第二预设条件时，提高视频的清晰度参数；其中，所述第二预设条件包括以下任意一个或其组合：所述终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数低于预定的安全值；所述终端参数包括当前的内存使用率，当前的内存使用率小于第三预设阈值；所述终端参数包括当前的网络带宽，当前的网络带宽大于第四预设阈值；其中，所述第三预设阈值小于所述第一预设阈值，所述第四预设阈值大于所述第二预设阈值。
- 根据权利要求11所述的装置，其特征在于，所述自适应调节模块提高视频的清晰度参数，具体配置为：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少提高一档。
- 一种终端设备，其特征在于，包括：检测元件、存储器以及一个或多个处理器；一个或者多个程序存储在所述存储器中，当被所述一个或者多个处理器执行时：所述检测元件，配置为在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；所述处理器，配置为在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率。
- 根据权利要求13所述的终端设备，其特征在于，所述终端参数，包括以下任意一个或其组合：当前的中央处理器CPU负载检测参数、当前的内存使用率和当前的网络带宽。
- 根据权利要求14所述的终端设备，其特征在于，所述处理器，具体配置为：在确定所述终端参数满足第一预设条件时，降低视频的清晰度参数；其中，所述第一预设条件包括以下任意一个或其组合：所述终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数达到预定的峰值；所述终端参数包括当前的内存使用率，当前的内存使用率大于第一预设阈值；所述终端参数包括当前的网络带宽，当前的网络带宽小于第二预设阈值。
- 根据权利要求15所述的终端设备，其特征在于，所述处理器降低视频的清晰度参数，具体配置为：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少降低一档。
- 根据权利要求14-16中任一项所述的终端设备，其特征在于，所述处理器，具体配置为：在确定所述终端参数满足第二预设条件时，提高视频的清晰度参数；其中，所述第二预设条件包括以下任意一个或其组合：所述终端参数包括当前的CPU负载检测参数，当前的CPU负载检测参数低于预定的安全值；所述终端参数包括当前的内存使用率，当前的内存使用率小于第三预设阈值；所述终端参数包括当前的网络带宽，当前的网络带宽大于第四预设阈值；其中，所述第三预设阈值小于所述第一预设阈值，所述第四预设阈值大于所述第二预设阈值。
- 根据权利要求17所述的终端设备，其特征在于，所述处理器提高视频的清晰度参数，具体配置为：将视频的分辨率、码率以及帧率分别按照由高到低预先划分为多个档，将视频的分辨率、帧率和/或码率至少提高一档。
- 一种终端设备，其特征在于，包括：处理器和存储器；所述存储器中存储有执行以下步骤的程序：在参与视频通话的终端设备中，检测影响视频通话质量的终端参数；在确定所述终端参数满足预设条件时，调节视频的清晰度参数；其中，所述视频的清晰度参数，包括以下任意一种或其组合：视频的分辨率、码率和帧率；所述处理器配置为执行所述存储器中存储的程序。
- 一种存储介质，其特征在于，所述存储介质中存储有执行权利要求1-6中任一项所述方法的程序。
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- 2016-06-23 WO PCT/CN2016/086897 patent/WO2017080214A1/zh active Application Filing
- 2016-06-23 EP EP16739389.1A patent/EP3188479A1/en not_active Withdrawn
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| CN110650372A (zh) * | 2019-09-17 | 2020-01-03 | 庄宿龙 | 基于视频终端数量的清晰度调节机构 |
| CN113242434A (zh) * | 2021-05-31 | 2021-08-10 | 山东云海国创云计算装备产业创新中心有限公司 | 一种视频压缩方法及相关装置 |
| CN113242434B (zh) * | 2021-05-31 | 2023-02-28 | 山东云海国创云计算装备产业创新中心有限公司 | 一种视频压缩方法及相关装置 |
| CN114554284A (zh) * | 2022-02-22 | 2022-05-27 | 网易（杭州）网络有限公司 | 画质信息处理方法、装置、计算机设备及存储介质 |
| CN114554284B (zh) * | 2022-02-22 | 2023-08-11 | 网易（杭州）网络有限公司 | 画质信息处理方法、装置、计算机设备及存储介质 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105657321A (zh) | 2016-06-08 |
| EP3188479A4 (en) | 2017-07-05 |
| EP3188479A1 (en) | 2017-07-05 |
| RU2016134598A (ru) | 2019-12-09 |
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