CN102257831B - Method and network node for video quality evaluation - Google Patents
Method and network node for video quality evaluation Download PDFInfo
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- CN102257831B CN102257831B CN201180001103.4A CN201180001103A CN102257831B CN 102257831 B CN102257831 B CN 102257831B CN 201180001103 A CN201180001103 A CN 201180001103A CN 102257831 B CN102257831 B CN 102257831B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
Abstract
The invention provides a method and a network node for video quality evaluation which belong to the communication field are disclosed in the present invention. The method includes the following steps that: the network node which is located at the network side obtains the video frame property information and decoder characteristic parameter of a video stream to be evaluated, wherein the video frame property information includes at least the video frame type and Quality Parameter (QP) of each video package of the video stream to be evaluated; the network node receives the damaged information of the video stream to be evaluated from a terminal; the network node evaluates the video quality of the video to be evaluated according to the video frame property information, decoder characteristic parameter and damaged information. The network node includes an obtaining module, a receiver and an evaluation module. The present invention can improve the accuracy of the video quality evaluation and reduce the effect of using terminals normally by users.
Description
Technical field
The present invention relates to the communications field, particularly a kind of method of video quality assessment and network node.
Background technology
In the business of transmitting on current the Internet, video traffic is becoming the chief component of future network flow day by day.Because characteristics such as it is big that video traffic has data volume, and real-time requires high, and user's sensitiveness is strong make operator to monitor to guarantee that the user is to the demand for experience of video traffic to the video service quality of transmission.
Wherein, can adopt the method that video quality is assessed to come the quality of monitor video business.The method of common video quality assessment is to dispose video quality evaluation module in user's set-top box, after set-top box receives video flowing, video quality evaluation module is resolved the network layer of this video flowing, obtain the corrupted information of this video flowing, again the application layer of this video flowing is resolved, obtain the frame of video attribute information, characteristic parameter according to the decoder in frame of video attribute information, corrupted information and the set-top box obtained is assessed, and the result that assessment is obtained sends to network management center again.
Network failure or line fault appear at the position near user's side mostly, the video flowing that set-top box receives often is impaired video flowing, the frame of video attribute information that makes video quality evaluation module obtain often is incomplete frame of video attribute information, thereby reduces the accuracy of assessment.Video flowing being analyzed and obtained the frame of video attribute information in application layer is a very numerous and diverse process, therefore needs to consume the ample resources of set-top box, normally uses set-top box thereby influence the user.
Summary of the invention
For the accuracy that improves video quality assessment and reduce the influence of the user normally being used terminal, the invention provides a kind of method and network node of video quality assessment.Described technical scheme is as follows:
A kind of method of video quality assessment, described method comprises:
The network node that is positioned at network side obtains the frame of video attribute information of video flowing to be assessed and the characteristic parameter of decoder, described frame of video attribute information comprises video frame type and the QP(Quality Parameter of each frame of video in the described video flowing to be assessed, quantization parameter at least);
The corrupted information of the video flowing described to be assessed that described network node receiving terminal sends;
Described network node carries out video quality assessment according to characteristic parameter and the corrupted information of described frame of video attribute information, decoder to described video flowing to be assessed;
Wherein, the described frame of video attribute information of video flowing to be assessed and the characteristic parameter of decoder of obtaining comprises:
Described network node receives the video quality assessment that described terminal sends request message is set, and described video quality assessment arranges the video features information that request message carries characteristic information and the described video flowing to be assessed of decoder at least;
Described network node obtains the characteristic parameter of described decoder according to the characteristic information of described decoder;
Described network node is according to the video features information of described video flowing to be assessed, from obtaining video flowing to be assessed through the video flowing of described network node;
The frame of video attribute information is analyzed and extracted to the described video flowing to be assessed that obtains of described network node buffer memory to the video flowing to be assessed of described buffer memory;
Wherein, described network node carries out video quality assessment according to characteristic parameter and the corrupted information of described frame of video attribute information, decoder to described video flowing to be assessed, specifically comprises:
Described network node is according to the QP of described each frame of video, calculates the compression quality mark of each frame of video in the described video flowing to be assessed;
Described network node reads the frame of video that comprises successively from described video flowing to be assessed, according to bag sequence number and the program clock reference information PCR of the video packets of vacancy, obtain the impaired mark of the current frame of video that reads;
Described network node obtains the influence degree that the described current frame of video that reads is subjected to reference frame according to the described current video frame type that reads, and described reference frame refers to described current frame of video required dependence of when decoding of reading or the frame of video of reference;
Described network node calculates the mark of the described current frame of video that reads according to the compression quality mark of the characteristic parameter of described decoder, the described current frame of video that reads, described impaired mark and the described influence degree that is subjected to reference frame;
Described network node calculates the mark of described video flowing to be assessed according to the mark of each frame of video of assessment.
A kind of network node, described network node comprises:
Acquisition module is used for obtaining the frame of video attribute information of video flowing to be assessed and the characteristic parameter of decoder, and described frame of video attribute information comprises video frame type and the QP of each frame of video in the described video flowing to be assessed at least;
Receiver is used for the corrupted information of the video flowing described to be assessed that receiving terminal sends;
Evaluation module is used for characteristic parameter and corrupted information according to described frame of video attribute information, decoder, and described video flowing to be assessed is carried out video quality assessment;
Wherein, described acquisition module concrete be used for receiving the video quality assessment that described terminal sends request message is set, and described video quality assessment arranges the video features information that request message carries characteristic information and the described video flowing to be assessed of decoder at least; According to the characteristic information of described decoder, from parameter database, obtain the characteristic parameter of described decoder; According to the video features information of described video flowing to be assessed, from obtaining video flowing to be assessed through the video flowing of described network node; The frame of video attribute information is analyzed and extracted to the described video flowing to be assessed that obtains of buffer memory to the video flowing to be assessed of described buffer memory;
Wherein, described evaluation module specifically is used for described network node according to the QP of described each frame of video, calculates the compression quality mark of each frame of video in the described video flowing to be assessed; Described network node reads the frame of video that comprises successively from described video flowing to be assessed, according to bag sequence number and the program clock reference information PCR of the video packets of vacancy, obtain the impaired mark of the current frame of video that reads; Described network node obtains the influence degree that the described current frame of video that reads is subjected to reference frame according to the described current video frame type that reads, and described reference frame refers to described current frame of video required dependence of when decoding of reading or the frame of video of reference; Described network node calculates the mark of the described current frame of video that reads according to the compression quality mark of the characteristic parameter of described decoder, the described current frame of video that reads, described impaired mark and the described influence degree that is subjected to reference frame; Described network node calculates the mark of described video flowing to be assessed according to the mark of each frame of video of assessment.
In the present invention, the network node that is positioned at network side obtain video flowing to be assessed the frame of video attribute information and and the characteristic parameter of decoder, receiving terminal sends the corrupted information of video flowing to be assessed, according to the frame of video attribute information of video flowing to be assessed, the characteristic parameter of decoder, the corrupted information of video flowing video flowing to be assessed is carried out video quality assessment.Because network node is positioned at network side, the frame of video attribute information that network node obtains video flowing to be assessed is more complete, thereby can improve the accuracy of video quality assessment; In addition, because network node obtains the frame of video attribute information of video flowing to be assessed, make terminal not need to obtain the frame of video attribute information, thereby reduce the consumption to the system resource of terminal, reduce the influence of the user being used terminal.
Description of drawings
Fig. 1 is the method flow diagram of a kind of video quality assessment of providing of the embodiment of the invention 1;
Fig. 2 is the method flow diagram of a kind of video quality assessment of providing of the embodiment of the invention 2;
Fig. 3 is the grid architecture schematic diagram that the embodiment of the invention 2 is used;
Fig. 4 is a kind of network node schematic diagram that the embodiment of the invention 3 provides.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, embodiment of the present invention is described further in detail below in conjunction with accompanying drawing.
Embodiment 1
As shown in Figure 1, the embodiment of the invention provides a kind of method of video quality assessment, comprising:
Step 101: the network node that is positioned at network side obtains the frame of video attribute information of video flowing to be assessed and the characteristic parameter of decoder, and this frame of video attribute information comprises each video frame type and the QP in the video flowing to be assessed at least;
Step 102: the corrupted information of the video flowing to be assessed that the network node receiving terminal sends;
Step 103: network node carries out video quality assessment according to the frame of video attribute information that obtains, characteristic parameter and the corrupted information of decoder to video flowing to be assessed.
In embodiments of the present invention, the network node that is positioned at network side obtains the frame of video attribute information of video flowing to be assessed and the characteristic parameter of decoder, receiving terminal sends the corrupted information of video flowing to be assessed, according to the frame of video attribute information of video flowing to be assessed, the characteristic parameter of decoder and the corrupted information of video flowing video flowing to be assessed is carried out video quality assessment.Wherein, because network node is positioned at network side, the frame of video attribute information that network node obtains video flowing to be assessed is more complete, thereby can improve the accuracy of video quality assessment; In addition, because network node obtains the frame of video attribute information of video to be assessed, make terminal not need to obtain the frame of video attribute information of video flowing to be assessed, thereby reduce the consumption to the system resource of terminal, reduce the influence of the user being used terminal.
Embodiment 2
As shown in Figure 2, the embodiment of the invention provides a kind of method of video quality assessment, comprising:
Step 201: the video quality assessment initial setting up message that the network node receiving terminal sends.
Wherein, when terminal need be carried out video quality assessment, terminal sends video quality assessment initial setting up message to the network node that is positioned at network side, and this video quality assessment initial setting up message is used for this network node of request video flowing to be assessed is carried out video quality assessment.
Terminal can be set-top box, television set, the equipment that mobile phone, computer or panel computer etc. can decoded video streams.
According to planning and the deployment of network, MQMC(Media Quality Monitoring Centre, media quality Surveillance center) address that can inform in advance a network node gives terminal and this network node edge network node for this terminal place Access Network; Perhaps, terminal is before sending video quality assessment initial setting up message, transmission is obtained the request message of network node to MQMC, select a network node in the network node of the video stream path process of MQMC between video server and terminal, terminal is informed in the address of the network node selected.MQMC can preferentially select idling-resource can satisfy the network node of the required resource of video quality assessment.The address of the terminal network node of informing according to MQMC sends video quality assessment initial setting up message to the network node of correspondence then.
Wherein, during the terminal downloads video flowing, the video flowing of download is through the edge network node of terminal place Access Network, so MQMC can inform the edge network address of node of terminal place Access Network to terminal in advance.
Optionally, network node in the network can be periodically sends to MQMC with the situation of self idling-resource, MQMC can know the situation of the idling-resource in each network node in real time, and MQMC can preferentially select idling-resource for terminal can satisfy the network node of the required resource of video quality assessment.
Step 202: when network node satisfies the required resource of video quality assessment when self idling-resource, return video quality assessment and confirm to arrange message and give terminal.
For instance, the idling-resource of network node refers to the remaining computational resource of this network node, CPU(Central Processing Unit for example, central processing unit) utilization rate, idle internal memory and idle bandwidth etc.When satisfying when pre-conditioned, CPU usage as network node does not surpass default utilization rate, idle internal memory greater than the preset bandwidth size, determines then that network node also has enough idling-resources to be used for carrying out video quality assessment greater than default space size and idle bandwidth.
If network node self does not have enough idling-resources to be used for carrying out video quality assessment, then network node can send a notification message to terminal, and this notification message is used to indicate terminal reselecting network node.Terminal receives this notification message, sends network node reselection request message to MQMC.MQMC selects a network node from the network node of remaining video stream path through video server and terminal, the address that transmission reselecting network node response message carries the network node of selection to terminal and this reselecting network node response message.MQMC can preferentially select idling-resource can satisfy the network node of the required resource of video quality assessment.Terminal sends video quality assessment initial setting up message to the network node of correspondence according to the address of the network node of MQMC selection then.Network node receiver, video quality evaluation initial setting up message, and judge self idling-resource and satisfy the video quality assessment resource requirement is returned video quality assessment and message is set is given terminal.
Perhaps, if network node self does not have enough idling-resources to be used for carrying out video quality assessment, then network node can send a notification message to MQMC, and this notification message is used to indicate MQMC reselecting network node.MQMC selects a network node from the network node of remaining video stream path through video server and terminal, the address that transmission reselecting network node response message carries the network node of selection to terminal and this reselecting network node response message.MQMC can preferentially select idling-resource can satisfy the network node of the required resource of video quality assessment.Terminal sends video quality assessment initial setting up message to the network node of correspondence according to the address of the network node of MQMC selection then.Network node receiver, video quality evaluation initial setting up message, and judge self idling-resource and satisfy the video quality assessment resource requirement is returned video quality assessment and message is set is given terminal.
Step 203: the video quality assessment that the network node receiving terminal sends arranges request message, and this video quality assessment arranges the characteristic information of decoder of request message carried terminal and the video features information of video flowing to be assessed.
Terminal receives after video quality assessment that network node sends confirms message is set, get access to the video features information of characteristic information and the video flowing to be assessed of decoder, the video quality assessment that sends the video features information of the characteristic information that carries decoder and video flowing to be assessed arranges request message to network node.
The characteristic information of decoder comprises that the model of decoder maybe can represent the information of decoder model.The video features information of video flowing to be assessed comprises the destination address of video flowing to be assessed at least.The video features information of video flowing to be assessed can also comprise the destination slogan.
Terminal manufacturer is characteristic information or the characteristic parameter of configuration decoder in terminal in advance, so terminal can directly be obtained characteristic information or the characteristic parameter of the decoder of terminal manufacturer configuration.
Step 204: network node obtains the characteristic parameter of corresponding decoder according to the characteristic information of decoder.
Network node can obtain the characteristic parameter of corresponding decoder according to the characteristic information of decoder from parameter database.Operator can arrange parameter database in advance in network, parameter database is used for the corresponding relation of the characteristic parameter of the characteristic information of storage decoder and decoder.If comprised the characteristic parameter of all required decoders of network node in the characteristic information of decoder, network node also can directly obtain the characteristic parameter of decoder from the characteristic information of decoder.
Step 205: network node obtains the frame of video attribute information of video flowing to be assessed according to the video features information of video flowing to be assessed, and wherein, the frame of video attribute information comprises video frame type and the QP of each frame of video in the video flowing to be assessed at least.
Particularly, network node is according to the video features information of video flowing to be assessed, from obtaining video flowing to be assessed through the video flowing of self, the frame of video attribute information is analyzed and extracted to video flowing to be assessed, wherein, the frame of video attribute information of extraction comprises video frame type and the QP of each frame of video in the video flowing to be assessed at least.
Wherein, network node is resolved the application layer of the video flowing to be assessed of buffer memory, in application layer the frame of video attribute information is analyzed and extracted to the video flowing to be assessed of buffer memory.
Wherein, present embodiment is applied to the network architecture as shown in Figure 3, in this network architecture, video server sends video flowing to be assessed to terminal, and MQMC is that the network node that terminal is selected is the network node of the video stream path process between video server and the terminal, is the network node that terminal is selected so video server sends to the video flowing of terminal through MQMC.
Network node receives after video quality assessment that terminal sends arranges request message, the video features information of the video flowing to be assessed that request message carries can also be set according to this video quality assessment, determine whether to begin video flowing to be assessed is carried out video quality assessment, if, then finish parse operation, and according to the frame of video attribute information of having resolved video flowing to be assessed is carried out video quality assessment, if not, then continue to carry out the operation of the frame of video attribute information that obtains video flowing to be assessed.So when a plurality of terminals are carried out video quality assessment to the network node request to same video flowing simultaneously, can guarantee that network node carries out one parsing to this video flowing, avoid same video flowing is repeated repeatedly to resolve, save resource.
Wherein, network node is positioned at network side, the network environment of network side is better, when transmitting, video flowing can not damage or take place very little damage in network side, therefore to catch the video flowing of getting to be assessed identical or basic identical with the original video stream of video server transmission for network node, so it is more complete that network node obtains the frame of video attribute information that the frame of video attribute information of video flowing to be assessed obtains than terminal, thereby can improve the accuracy of video assessment.
Further, network node sends video quality assessment and response message is set to terminal.
Step 206: the corrupted information of the video flowing to be assessed that the network node receiving terminal sends;
Wherein, this corrupted information can comprise bag sequence number and the PCR(Program Clock Reference of the video packets of vacancy, program clock reference) information; Or this corrupted information can comprise packet loss.
Wherein, terminal receives video quality assessment response message is set, and obtains the corrupted information of video flowing to be assessed, and then sends the corrupted information of video flowing to be assessed.
Further, terminal can periodically send the corrupted information of video flowing to be assessed to network node.
Wherein, terminal was obtained the corrupted information of video flowing to be assessed earlier before the corrupted information that sends video flowing to be assessed; In the present embodiment, comprise that with corrupted information bag sequence number and the PCR information of the video packets of vacancy are that example describes.
Video flowing comprises frame of video, and each frame of video comprises one or more video packets, and the packet header of each video packets comprises the bag sequence number of video packets.In video flowing, distinguish each frame of video in the video flowing with the frame boundaries mark, and the frame boundaries mark is arranged in the packet header of first or last video packets of each frame of video.The bag sequence number of video server each video packets that each frame of video in the video flowing comprises when sending video flowing is continuous.In addition, video flowing also comprises TS PCR bag, in the packet header of TS PCR bag PCR information is arranged, and video server periodically sends TS PCR bag when sending video flowing.
Correspondingly, terminal obtain video flowing to be assessed corrupted information operation can for: terminal inner arranges a buffer queue in advance.Extract the bag that video flowing to be assessed comprises, this bag is judged, if this wraps the bag into TS PCR, then from TS PCR bag, extract PCR information; If wrapping, this is video packets, then extract the packet header of video packets, and the packet header of extracting is buffered in buffer queue successively, terminal reads the packet header of a frame from buffer queue according to the decoder decode time interval, and the bag sequence number in the packet header of the frame that reads analyzed, if the bag sequence number that analyzes in packet header of a frame that reads is discontinuous, then obtain the bag sequence number of vacancy, the bag sequence number of the vacancy of obtaining is the bag sequence number of the video packets of vacancy.
Step 207: network node carries out video quality assessment according to the corrupted information of video flowing to be assessed, the characteristic parameter of decoder, video frame type and the QP in the frame of video attribute information to video flowing to be assessed.
Network node is selected corresponding computation model according to the characteristic parameter of decoder, according to common video quality evaluation method video flowing to be assessed is carried out video quality assessment afterwards.
Wherein, in the present embodiment, comprise that with corrupted information the bag sequence number of vacancy video packets and PCR information are example, correspondingly, network node can carry out video quality assessment to video flowing to be assessed as follows, comprising:
Network node calculates the compression quality mark of each frame of video in the video flowing to be assessed according to the QP of each frame of video.
Wherein, the video flowing to be assessed of video server transmission is the video flowing through compressed encoding.And video flowing to be assessed is in the process of compressed encoding, and each frame of video in the video flowing to be assessed can sustain damage.And the compression quality mark of each frame of video in the video flowing to be assessed can embody the degree that each frame of video sustains damage when compressed encoding.
Network node reads the frame of video that comprises successively from video flowing to be assessed, according to bag sequence number and the PCR information of the video packets of vacancy, obtain the impaired mark of the current frame of video that reads.
Particularly, according to the bag sequence number of the video packets of vacancy and the PCR information of PCR information and the current frame of video that reads, determine whether the current frame of video that reads has impaired video packets, if it is current first video packets that reads video that impaired video packets and impaired video packets are arranged, the impaired area percentage that the current frame of video that reads then is set is first fixed value; If it is not first video packets of the current frame of video that reads that impaired video packets and impaired video packets are arranged, the impaired area percentage of impaired video packets then is set according to the size of impaired video packets, and the impaired area percentage of the impaired video packets in the current frame of video that reads is superposeed obtains the impaired area percentage of the current frame of video that reads; If there is not impaired video packets, the impaired area percentage that the current frame of video that reads then is set is second fixed value; The impaired mark of the current frame of video that reads is set according to the impaired area percentage of the current frame of video that reads.
Wherein, first fixed value can be 0% for 100%, the second fixed value.Because first video packets in the frame of video comprises sequence parameter set and the picture parameter set of frame of video, if first video packets damage, then can influence the picture of whole video frame, if therefore first video packets damage, the impaired area percentage that frame of video then can directly be set is 100%.
Network node obtains the influence degree that the current frame of video that reads is subjected to reference frame according to the current video frame type that reads, and wherein, reference frame refers to current frame of video required dependence of when decoding of reading or the frame of video of reference.
Particularly, network node is according to the video frame type of the current frame of video that reads, determine the reference frame of the current frame of video that reads, according to the mark of the current frame of video that reads and the image similarity between the reference frame and reference frame, determine the influence degree that is subjected to reference frame of the current frame of video that reads.
Network node is according to compression quality mark, the impaired mark of the characteristic parameter of decoder, the current frame of video that reads and be subjected to the influence degree of reference frame, calculates the mark of the current frame of video that reads.
Wherein, network node is selected corresponding computation model according to the characteristic parameter of decoder, again according to compression quality mark, the impaired mark of the current frame of video that reads be subjected to the influence degree of reference frame, and calculate the mark of the current frame of video that reads by the computation model of selecting.Wherein, obtain the mark of each frame of video in the video flowing to be assessed as stated above.
Because network node received reference frame before receiving the current frame of video that reads, so before the mark that calculates the current frame of video that reads, just calculated the mark of reference frame.
Network node calculates the mark of video flowing to be assessed according to the mark of each frame of video of assessment.
Wherein, network node can be with the mean value of the mark of each frame of video, as the mark of video flowing to be assessed.
In embodiments of the present invention, the network node that is positioned at network side obtains the video flowing to be assessed that video server sends, from video flowing to be assessed, extract the frame of video attribute information, terminal is obtained corrupted information and PCR information from impaired video flowing to be assessed, and the corrupted information of the video flowing to be assessed that will obtain sends to network node, and network node is assessed video flowing to be assessed according to the frame of video attribute information of video flowing to be assessed, characteristic parameter and the corrupted information of decoder again.Wherein, because network node is positioned at network side, the frame of video attribute information that network node obtains video flowing to be assessed is more complete, thereby can improve the accuracy of video quality assessment; In addition, because network node obtains the frame of video attribute information of video to be assessed, make terminal not need to obtain the frame of video attribute information of video flowing to be assessed, thereby reduce the consumption to the system resource of terminal, reduce the influence of the user normally being used terminal.
Embodiment 5
As shown in Figure 4, the embodiment of the invention provides a kind of network node, comprising:
Wherein, acquisition module 301 specifically is used for the video quality assessment that receiving terminal sends request message is set, and this video quality assessment arranges the video features information that request message carries characteristic information and the video flowing to be assessed of decoder at least; According to the characteristic information of this decoder, from parameter database, obtain the characteristic parameter of decoder; According to the video features information of video flowing to be assessed, from obtaining video flowing to be assessed through the video flowing of network node; The frame of video attribute information is analyzed and extracted to the video flowing to be assessed that buffer memory obtains to the video flowing to be assessed of buffer memory.
Wherein, acquisition module 301 is resolved to application layer with the video flowing to be assessed of buffer memory, in application layer the frame of video attribute information is analyzed and extracted to the video flowing to be assessed of buffer memory.
Wherein, network node is positioned at network side, the network environment of network side is better, when transmitting, video flowing can not damage or take place very little damage in network side, therefore to catch the video flowing of getting to be assessed identical or basic identical with the original video stream of video server transmission for network node, so it is more complete that network node obtains the frame of video attribute information that the frame of video attribute information of video flowing to be assessed obtains than terminal, thereby can improve the accuracy of video assessment.
Wherein, terminal was obtained the corrupted information of video flowing to be assessed earlier before sending corrupted information; In the present embodiment, comprise that with corrupted information the bag sequence number of vacancy video packets and PCR information are example, correspondingly, terminal obtain video flowing to be assessed video features information can for: terminal inner arranges a buffer queue in advance.Extract the bag that video flowing to be assessed comprises, this bag is judged, if this wraps the bag into TS PCR, then from TS PCR bag, extract PCR information; If wrapping, this is video packets, then extract the packet header of video packets, and the packet header of extracting is buffered in buffer queue successively, terminal reads the packet header of a frame from buffer queue according to the decoder decode time interval, and the bag sequence number in the packet header of the frame that reads analyzed, if the bag sequence number that analyzes in packet header of a frame that reads is discontinuous, then obtain the bag sequence number of vacancy, the bag sequence number of the vacancy of obtaining is the bag sequence number of the video packets of vacancy.
Correspondingly, evaluation module 303, concrete for the QP according to each frame of video, calculate the compression quality mark of each frame of video in the video flowing to be assessed; From video flowing to be assessed, read the frame of video that comprises successively, according to bag sequence number and the PCR information of the video packets of vacancy, obtain the impaired mark of the current frame of video that reads; And obtain the influence degree that each frame of video is subjected to reference frame according to the video frame type of each frame of video; According to compression quality mark, the impaired mark of each frame of video be subjected to the influence degree of reference frame and the characteristic parameter of described decoder, calculate the mark of each frame of video; Calculate the mark of video flowing to be assessed according to the mark of each frame of video.
Further, this network node also comprises:
First notification module, be used for the video quality assessment initial setting up message that receiving terminal sends, do not carry out the required resource of video quality assessment if the idling-resource of self residual does not satisfy, then send a notification message to terminal, make the terminal gravity treatment be used for the network node of video quality assessment.
Further, this network node also comprises:
Second notification module, be used for the video quality assessment initial setting up message that receiving terminal sends, if not satisfying, the idling-resource of self residual do not carry out the required resource of video quality assessment, then send a notification message to the MQMC of media quality Surveillance center, make MQMC be used for the network node of video quality assessment for the terminal gravity treatment.
Wherein, carry out the required resource of video quality assessment and comprise CPU usage, the internal memory of free time and idle bandwidth, if the CPU usage of network node does not surpass default utilization rate, idle internal memory greater than default space size and idle bandwidth greater than the preset bandwidth size, then first notification module or second notification module are determined network node and are also had enough resources to be used for carrying out video quality assessment, otherwise first notification module or second notification module are determined network node does not have enough resources to be used for carrying out video quality assessment.
Further, this network node also comprises:
Determination module, be used for the video features information according to video flowing to be assessed, determine whether to obtain the frame of video attribute information of video flowing to be assessed, if then according to the frame of video attribute information that has obtained video flowing to be assessed is carried out video quality assessment.
In embodiments of the present invention, be positioned at the video flowing to be assessed of the network node receiver, video server transmission of network side, frame of video attribute information from video flowing to be assessed, terminal is obtained corrupted information from impaired video flowing to be assessed, and the corrupted information of the video flowing to be assessed that will obtain sends to network node, and network node is assessed video flowing to be assessed according to the frame of video attribute information of video flowing to be assessed, characteristic parameter and the corrupted information of decoder again.Wherein, network node is positioned at network side, and the frame of video attribute information that network node obtains video flowing to be assessed is more complete, thereby improves the accuracy of video quality assessment; In addition, because network node obtains the frame of video attribute information of video to be assessed, make terminal not need to obtain the frame of video attribute information of video flowing to be assessed, thereby reduce the consumption to the system resource of terminal, reduce the influence of the user normally being used terminal.
All or part of content in the technical scheme that above embodiment provides can realize that its software program is stored in the storage medium that can read by software programming, storage medium for example: the hard disk in the computer, CD or floppy disk.
The above only is preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. the method for a video quality assessment is characterized in that, described method comprises:
The network node that is positioned at network side obtains the frame of video attribute information of video flowing to be assessed and the characteristic parameter of decoder, and described frame of video attribute information comprises video frame type and the quantization parameter QP of each frame of video in the described video flowing to be assessed at least;
The corrupted information of the video flowing described to be assessed that described network node receiving terminal sends;
Described network node carries out video quality assessment according to characteristic parameter and the corrupted information of described frame of video attribute information, decoder to described video flowing to be assessed;
Wherein, the described frame of video attribute information of video flowing to be assessed and the characteristic parameter of decoder of obtaining comprises:
Described network node receives the video quality assessment that described terminal sends request message is set, and described video quality assessment arranges the video features information that request message carries characteristic information and the described video flowing to be assessed of decoder at least;
Described network node obtains the characteristic parameter of described decoder according to the characteristic information of described decoder;
Described network node is according to the video features information of described video flowing to be assessed, from obtaining video flowing to be assessed through the video flowing of described network node;
The frame of video attribute information is analyzed and extracted to the described video flowing to be assessed that obtains of described network node buffer memory to the video flowing to be assessed of described buffer memory;
Wherein, described network node carries out video quality assessment according to characteristic parameter and the corrupted information of described frame of video attribute information, decoder to described video flowing to be assessed, specifically comprises:
Described network node is according to the QP of described each frame of video, calculates the compression quality mark of each frame of video in the described video flowing to be assessed;
Described network node reads the frame of video that comprises successively from described video flowing to be assessed, according to bag sequence number and the program clock reference information PCR of the video packets of vacancy, obtain the impaired mark of the current frame of video that reads;
Described network node obtains the influence degree that the described current frame of video that reads is subjected to reference frame according to the described current video frame type that reads, and described reference frame refers to described current frame of video required dependence of when decoding of reading or the frame of video of reference;
Described network node calculates the mark of the described current frame of video that reads according to the compression quality mark of the characteristic parameter of described decoder, the described current frame of video that reads, described impaired mark and the described influence degree that is subjected to reference frame;
Described network node calculates the mark of described video flowing to be assessed according to the mark of each frame of video of assessment.
2. the method for claim 1 is characterized in that, before the characteristic parameter of the described frame of video attribute information that obtains video flowing to be assessed and decoder, also comprises:
Described network node receives the video quality assessment initial setting up message that described terminal sends, if not satisfying, the idling-resource of self residual do not carry out the required resource of video quality assessment, then send a notification message to described terminal, make described terminal gravity treatment be used for the network node of video quality assessment.
3. the method for claim 1 is characterized in that, before the characteristic parameter of the described frame of video attribute information that obtains video flowing to be assessed and decoder, also comprises:
Described network node receives the video quality assessment initial setting up message that described terminal sends, if not satisfying, the idling-resource of self residual do not carry out the required resource of video quality assessment, then send a notification message to the MQMC of media quality Surveillance center, making described MQMC is the network node that described terminal gravity treatment is used for video quality assessment.
4. as the described method of each claim of claim 1 to 3, it is characterized in that the video quality assessment that the described terminal of described reception sends arranges after the request message, also comprises:
Described network node is according to the video features information of described video flowing to be assessed, determine whether to obtain the frame of video attribute information of described video flowing to be assessed, if then according to the frame of video attribute information that has obtained described video flowing to be assessed is carried out video quality assessment.
5. a network node is characterized in that, described network node comprises:
Acquisition module is used for obtaining the frame of video attribute information of video flowing to be assessed and the characteristic parameter of decoder, and described frame of video attribute information comprises video frame type and the quantization parameter QP of each frame of video in the described video flowing to be assessed at least;
Receiver is used for the corrupted information of the video flowing described to be assessed that receiving terminal sends;
Evaluation module is used for characteristic parameter and corrupted information according to described frame of video attribute information, decoder, and described video flowing to be assessed is carried out video quality assessment;
Wherein, described acquisition module concrete be used for receiving the video quality assessment that described terminal sends request message is set, and described video quality assessment arranges the video features information that request message carries characteristic information and the described video flowing to be assessed of decoder at least; According to the characteristic information of described decoder, from parameter database, obtain the characteristic parameter of described decoder; According to the video features information of described video flowing to be assessed, from obtaining video flowing to be assessed through the video flowing of described network node; The frame of video attribute information is analyzed and extracted to the described video flowing to be assessed that obtains of buffer memory to the video flowing to be assessed of described buffer memory;
Wherein, described evaluation module specifically is used for described network node according to the QP of described each frame of video, calculates the compression quality mark of each frame of video in the described video flowing to be assessed; Described network node reads the frame of video that comprises successively from described video flowing to be assessed, according to bag sequence number and the program clock reference information PCR of the video packets of vacancy, obtain the impaired mark of the current frame of video that reads; Described network node obtains the influence degree that the described current frame of video that reads is subjected to reference frame according to the described current video frame type that reads, and described reference frame refers to described current frame of video required dependence of when decoding of reading or the frame of video of reference; Described network node calculates the mark of the described current frame of video that reads according to the compression quality mark of the characteristic parameter of described decoder, the described current frame of video that reads, described impaired mark and the described influence degree that is subjected to reference frame; Described network node calculates the mark of described video flowing to be assessed according to the mark of each frame of video of assessment.
6. network node as claimed in claim 5 is characterized in that, described network node also comprises:
First notification module, be used for receiving the video quality assessment initial setting up message that described terminal sends, if not satisfying, the idling-resource of self residual do not carry out the required resource of video quality assessment, then send a notification message to described terminal, make described terminal gravity treatment be used for the network node of video quality assessment.
7. network node as claimed in claim 5 is characterized in that, described network node also comprises:
Second notification module, be used for receiving the video quality assessment initial setting up message that described terminal sends, if not satisfying, the idling-resource of self residual do not carry out the required resource of video quality assessment, then send a notification message to the MQMC of media quality Surveillance center, making described MQMC is the network node that described terminal gravity treatment is used for video quality assessment.
8. as the described network node of each claim of claim 5 to 7, it is characterized in that described network node also comprises:
Determination module, be used for the video features information according to described video flowing to be assessed, determine whether to obtain the frame of video attribute information of described video flowing to be assessed, if then according to the frame of video attribute information that has obtained described video flowing to be assessed is carried out video quality assessment.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2011/075497 WO2011144181A2 (en) | 2011-06-09 | 2011-06-09 | Method and network node for video quality evaluation |
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| CN102257831A CN102257831A (en) | 2011-11-23 |
| CN102257831B true CN102257831B (en) | 2013-08-07 |
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| WO (1) | WO2011144181A2 (en) |
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| CN103428523B (en) | 2012-05-22 | 2015-07-08 | 华为技术有限公司 | Method and device for estimating video quality |
| CN103974057B (en) * | 2013-01-24 | 2016-09-28 | 华为技术有限公司 | A kind of video quality user experience value assessment method, equipment and system |
| CN103533342B (en) * | 2013-09-26 | 2017-06-06 | 上海华为技术有限公司 | A kind of mobile video quality determining method and device |
| CN103686145A (en) * | 2013-11-15 | 2014-03-26 | 悉地（北京）国际建筑设计顾问有限公司 | Method and device for determining image quality |
| CN106713901B (en) * | 2015-11-18 | 2018-10-19 | 华为技术有限公司 | A kind of method for evaluating video quality and device |
| CN107404646B (en) * | 2016-05-20 | 2019-11-29 | 华为技术有限公司 | The method, apparatus and headend of video quality assessment |
| CN112601072A (en) * | 2016-06-16 | 2021-04-02 | 华为技术有限公司 | Method and device for evaluating video service quality |
| CN107968941A (en) * | 2016-10-19 | 2018-04-27 | 中国电信股份有限公司 | Method and apparatus for assessing video user experience |
| CN108574840B (en) * | 2017-03-10 | 2020-03-10 | 华为技术有限公司 | Method and device for evaluating video experience quality |
| CN112188218B (en) * | 2020-09-24 | 2022-08-30 | 陈旻 | Energy-saving video transmission system based on distributed source codes |
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| JP2000138870A (en) * | 1998-10-30 | 2000-05-16 | Canon Inc | Data communication system, terminal, system control method and storage medium |
| KR100541526B1 (en) * | 2004-01-30 | 2006-01-10 | 에스케이 텔레콤주식회사 | Methods and apparatus for multimedia data transmission quality measurement |
| CN101174995B (en) * | 2006-11-03 | 2010-05-12 | 中兴通讯股份有限公司 | Method and system for monitoring multimedia service performance |
| EP2296379A4 (en) * | 2008-07-21 | 2011-07-20 | Huawei Tech Co Ltd | Method, system and equipment for evaluating video quality |
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| WO2011144181A3 (en) | 2012-05-10 |
| WO2011144181A2 (en) | 2011-11-24 |
| CN102257831A (en) | 2011-11-23 |
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