CN107277499B - A kind of video quality evaluation method and device - Google Patents
A kind of video quality evaluation method and device Download PDFInfo
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- CN107277499B CN107277499B CN201610216386.9A CN201610216386A CN107277499B CN 107277499 B CN107277499 B CN 107277499B CN 201610216386 A CN201610216386 A CN 201610216386A CN 107277499 B CN107277499 B CN 107277499B
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Abstract
The invention discloses a kind of video quality evaluation method and devices.The method of the present invention includes: the wireless channel measurement data and application layer transmission performance statistical data obtained during video data transmission;Determine the difference between wireless channel measurement data and the first assessment benchmark and the difference between application layer transmission performance statistical data and the second assessment benchmark;According to the difference determined, the video quality of video data is assessed.The present invention is capable of providing a kind of technical solution for the Objective Quality Assessment that algorithm is simple, is easily achieved.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of video quality evaluation methods and device.
Background technique
It is increasingly mature with LTE (Long Term Evolution, long term evolution) network technology, it is relevant to video
Network-multimedia application has obtained swift and violent development.Video will receive data degradation during compression, transimission and storage, draw
Enter various distortion effects.In order to obtain better video subjective effect, need to assess the quality of distortion video, according to assessment result
Adjust the relevant parameter of encoder and transmission channel.
In current most of networked multimedia systems, video quality assessment has become indispensable important composition portion
Point, it is broadly divided into subjective quality assessment (Subjective Quality Assessment, SQA) and objective quality assessment
(Objective Quality Assessment, OQA), wherein objective quality assessment is according to the degree of dependence to original video
Full reference type (Full Reference, FR), partial reference type (Reduced Reference, RR) can be divided into and without reference
Type (No Reference, NR) three classes.
Wherein, subjective quality assessment is mainly to pass through the testee for selecting a collection of non-expert's type, allows them in a spy
In fixed controlled environment, a series of cycle tests is continuously watched, then allows their matter to video sequence using distinct methods
Amount scores, and finally acquires MOS (Mean Opinion Score, Mean Opinion Score), and analyze the data obtained.Root
According to different test environment, test purpose, mainly there are following several subjective quality assessment methods: (1) DSIS (Double at present
Stimulus Impairment Scale, double stimuli damage Scale Method) testee watches multiple original reference videos and mistake
" video to " of true video composition, first watches original reference video, then viewing distortion video every time.To the overall impression of video
It is judged, is estimated with the subjectivity of definition to express and judge.(2)DSCQS(Double Stimulus Continuous
Quality Scale, double stimuli continuous mass Scale Method) testee watch random display multiple original reference videos and
It is distorted " video to " of video composition, is given a mark to the quality of two width videos in each " video to ".(3)SSM(Single
Stimulus Methods, single stimulating method) the multiple test videos of random display, for different observers, video sequence with
Machine display order is different.Testee only watches test video and gives a mark.(4)SSCQE(Single Stimulus
Continuous Quality Evaluation, single to stimulate continuous mass appraisal procedure) only show that cycle tests (does not show ginseng
Examine sequence), cycle tests section duration is longer, and testee persistently scores to cycle tests, finally from a series of
Statistical data is obtained in marking, score considers the size of score value and the time of marking.
Although subjective quality assessment is to carry out visual assessment to these distortion videos by the mankind, it is acknowledged as most accurate side
Method, but need to consume a large amount of manpower and time, be not suitable for large-scale practical application.Therefore, by design mathematic model to mistake
True video carries out intelligent analysis, to realize the objective quality assessment to video quality, becomes current international research heat
Point.
Fig. 1 shows a kind of full reference type method for evaluating quality PEVQ (Perceptual Evaluation of Video
Quality, video quality perception evaluating method) schematic diagram.
As shown in Figure 1, it is soft with PC (Personal Computer, personal computer) drive test in PEVQ appraisal procedure
Part controls 2 mobile phones and is established for voice/video communication each other, has been prerecorded by the sending of preset A mobile phone
This video clip is transmitted to PC and saved by video clip (contain voice, about 15 seconds or so) to B mobile phone, B mobile phone.PC software can be real-time
The video flowing that A, B mobile phone send and receive is shown respectively, and PEVQ algorithm will be called to carry out quantization after one section of video flowing and beaten
Divide and shows PEVQ assessment result and statistical information etc. in the form of map, time-domain diagram, table etc..PC drive test software also can control 1
Portion's mobile phone dials video information server, establishes after communication and sends the video clip prerecorded so far mobile phone by server,
Process later is identical as with upper type.PEVQ appraisal procedure is by original reference video (non-degraded video) and degenerates
Video (degraded video) is converted to the data queue in time and space, comparing calculation difference in perception, finally comprehensive output
Video MOS value.
In the technical solution of existing video quality assessment, subjective quality assessment method needs experimental situation, and puts into
A large amount of manpower and material resources refer to as a comparison, are typically only capable to assess for specific video and test environment, in video traffic
Universal today, it is virtually impossible to assess the video quality in all environment places and terminal.And full reference type method for evaluating quality, then
The test equipment and more video delivery network bandwidth for needing profession, provide the relevant information of original reference video, generally also
It can only be applied in professional test.
Therefore, how to can be avoided to the dependence of people's subjective feeling and to original reference the assessment of video quality
The dependence of video information provides a kind of technical solution for the Objective Quality Assessment that algorithm is simple, is easily achieved, is industry institute
Urgently studies and solve the problems, such as.
Summary of the invention
The embodiment of the present invention provides a kind of video quality evaluation method and device is mentioned to overcome the deficiencies of existing technologies
The technical solution of Objective Quality Assessment that is simple for a kind of algorithm, being easily achieved.
The video quality evaluation method that one embodiment of the present of invention provides, comprising:
Obtain the wireless channel measurement data and application layer transmission performance statistical data during video data transmission;
Determine the difference and the application layer transporting between the wireless channel measurement data and the first assessment benchmark
Difference between energy statistical data and the second assessment benchmark;
According to the difference determined, the video quality of the video data is assessed.
In some embodiments of the present invention, application layer transmission performance statistical data includes delay variation statistical data, packet loss
One of rate statistical data, end-to-end time delay statistical data or any combination.
In some embodiments of the present invention, wireless channel measurement data include physical layer measurement data, transport layer measurement number
According to one of or any combination.
In some embodiments of the present invention, physical layer measurement data includes one of signal strength, signal-to-noise ratio or any
Combination.
In some embodiments of the present invention, transport layer measurement data includes modulating-coding strategy measurement data, scheduling of resource
One of measurement data, transmission rate or any combination.
In some embodiments of the present invention, according to the difference determined, the video quality of video data is assessed, comprising: root
According to the difference between wireless channel measurement data and the first assessment benchmark, the corresponding score of wireless channel measurement data is determined, with
And according to the difference between application layer transmission performance statistical data and the second assessment benchmark, determine application layer transmission performance statistical number
According to corresponding score;According to the corresponding score of wireless channel measurement data and weight and application layer transmission performance statistical data
Corresponding score and weight determine the score for assessing the video quality of video data.
In some embodiments of the present invention, according to the difference between wireless channel measurement data and the first assessment benchmark, really
Determine the corresponding score of wireless channel measurement data, comprising: if determining that quality of wireless channel is higher than according to wireless channel measurement data
First assessment benchmark, it is determined that the corresponding score of wireless channel measurement data is full marks, otherwise, according to wireless channel measurement data
Difference between the first assessment benchmark, determines the corresponding score of wireless channel measurement data, wherein fractional value and difference size
It is inversely proportional.
In some embodiments of the present invention, according to the difference between application layer transmission performance statistical data and the second assessment benchmark
It is different, determine the corresponding score of application layer transmission performance statistical data, comprising: if determining according to application layer transmission performance statistical data
Application layer transmission quality is higher than the second assessment benchmark, it is determined that and the corresponding score of application layer transmission performance statistical data is full marks,
Otherwise, according to application layer transmission performance statistical data and the second assessment benchmark, determine that application layer transmission performance statistical data is corresponding
Score, wherein fractional value is inversely proportional with difference size.
In some embodiments of the present invention, the corresponding weight of application layer transmission performance statistical data is higher than wireless channel and surveys
Measure the corresponding weight of data.
The video quality assessment device that one embodiment of the present of invention provides, comprising:
Module is obtained, for obtaining wireless channel measurement data and application layer transporting during video data transmission
It can statistical data;
Determining module, for determining the difference between the wireless channel measurement data and the first assessment benchmark, Yi Jisuo
State the difference between application layer transmission performance statistical data and the second assessment benchmark;
Evaluation module, for assessing the video quality of the video data according to the difference determined.
In some embodiments of the present invention, application layer transmission performance statistical data includes delay variation statistical data, packet loss
One of rate statistical data, end-to-end time delay statistical data or any combination.
In some embodiments of the present invention, wireless channel measurement data include physical layer measurement data, transport layer measurement number
According to one of or any combination.
In some embodiments of the present invention, physical layer measurement data includes one of signal strength, signal-to-noise ratio or any
Combination.
In some embodiments of the present invention, transport layer measurement data includes modulating-coding strategy measurement data, scheduling of resource
One of measurement data, transmission rate or any combination.
In some embodiments of the present invention, evaluation module is specifically used for: according to wireless channel measurement data and the first assessment
Difference between benchmark determines the corresponding score of wireless channel measurement data, and according to application layer transmission performance statistical data
Difference between the second assessment benchmark, determines the corresponding score of application layer transmission performance statistical data;It is surveyed according to wireless channel
The corresponding score of data and weight and the corresponding score of application layer transmission performance statistical data and weight are measured, is determined for commenting
Estimate the score of the video quality of video data.
In some embodiments of the present invention, evaluation module is specifically used for: if being determined according to wireless channel measurement data wireless
Channel quality is higher than the first assessment benchmark, it is determined that the corresponding score of wireless channel measurement data is full marks, otherwise, according to wireless
Difference between channel sounding data and the first assessment benchmark, determines the corresponding score of wireless channel measurement data, wherein score
Value is inversely proportional with difference size;If determining that application layer transmission quality is higher than the second assessment according to application layer transmission performance statistical data
Benchmark, it is determined that the corresponding score of application layer transmission performance statistical data is full marks, otherwise, is counted according to application layer transmission performance
Data and the second assessment benchmark, determine the corresponding score of application layer transmission performance statistical data, wherein fractional value and difference size
It is inversely proportional.
In some embodiments of the present invention, the corresponding weight of application layer transmission performance statistical data is higher than wireless channel and surveys
Measure the corresponding weight of data.
Video quality evaluation method and device provided by the embodiment of the present invention, by obtaining video data transmission first
Wireless channel measurement data and application layer transmission performance statistical data in the process, then determine wireless channel measurement data and the
The difference between difference and application layer transmission performance statistical data and the second assessment benchmark between one assessment benchmark, according to true
The difference made realizes the video quality assessment to video data.It can be seen that video matter provided by the embodiment of the present invention
Amount estimation technical scheme does not need not only artificially to provide subjective feeling when assessing video quality, does not need additionally to obtain original yet
The information of reference video, but be based on video transmission channel situation and video decoder distortion situation, i.e., by obtaining wireless channel
Measurement data and application layer transmission performance statistical data, to realize the quality evaluation to video, and wireless channel measurement data
And application layer transmission performance statistical data is also the data being easily obtained, therefore be a kind of scope of application is relatively wide, algorithm is simple,
The technical solution for the objective video quality assessment being easily achieved.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill in field, without any creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is a kind of schematic diagram of full reference type method for evaluating quality PEVQ in the prior art;
Fig. 2 is the structural schematic diagram that can be implemented within the LTE network of the embodiment of the present invention;
Fig. 3 is that the technical concept of the embodiment of the present invention applies the schematic diagram in video data service;
Fig. 4 is the flow diagram for the video quality evaluation method that one embodiment of the present of invention provides;
Fig. 5 is the structural schematic diagram for the video quality assessment device that one embodiment of the present of invention provides;
Fig. 6 is the terminal structure schematic diagram that the application that one embodiment of the present of invention provides has video quality assessment device.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
It is described in detail to one step, it is clear that the described embodiments are only some of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
All other embodiment, shall fall within the protection scope of the present invention.
For the technical solution of existing video quality assessment, according to precision from high to low suitable of video quality assessment
Sequence, be followed successively by subjective quality assessment method, full reference type method for evaluating quality, partial reference type method for evaluating quality, without reference
Type method for evaluating quality.Wherein, full reference type method for evaluating quality, partial reference type method for evaluating quality and without reference type quality
Appraisal procedure belongs to objective quality assessment method.
Although the subjective quality assessment method for directly allowing testee to make intuitive judgment to video quality is the most accurately
Appraisal procedure, but this method not only needs the experimental situation of profession, and a large amount of tested personnel, and cost is bigger, Er Qiezhu
Appearance quality appraisal procedure algorithm is also sufficiently complex, and result is easily affected by many factors, therefore, is usually adopted in practical applications
It is objective quality assessment method.And since subjective feeling of the testee to video quality is the truest and accurate,
Under the conditions of identical video system and identical cycle tests, the result of objective quality assessment method should be able to be commented with subjective quality
Estimate consistency or correlation that the result of method has had.
Full reference type method for evaluating quality in objective quality assessment method needs to occupy network bandwidth to transmit original ginseng
Video is examined, partial reference type method for evaluating quality is also required to occupy network bandwidth part to transmit original video or transmission volume
Outer some information (part statistical nature of original reference video etc.), therefore to the more demanding of network system, practical value
Also very limited.In contrast, in objective quality assessment method without reference type method for evaluating quality can not depend on it is original
The relevant information of reference video can directly assess video quality according to the information of video to be assessed, therefore have better
Flexibility and adaptability and wider application value.The purpose of no reference type quality evaluation is exactly not need to obtain original
Begin comparison video information the case where, reach to greatest extent subjective quality assessment method or full reference type method for evaluating quality or
The Evaluation accuracy that partial reference type method for evaluating quality can obtain.
In some known solutions of current objective quality assessment method, it is often based in decoded video image
The algorithm of the video image analysis class of upper operation assesses video quality, or coded-bit stream information based on transmission of video
Algorithm extract view to be assessed to assess video quality, or based on the processing analysis to video space domain to be assessed and frequency domain
The feature of frequency assesses video quality etc., these algorithm calculation amounts are very big and more demanding to processing capacity, even if wherein having
Some algorithm can be run near real-time by improving, but while algorithm complexity reduces, it will lead to video quality
The precision of assessment also decreases.
It is the advantages of in order to overcome the defects of prior art and inherit without reference type method for evaluating quality, of the invention
Embodiment provides a kind of technical solution of video quality assessment.The skill of video quality assessment provided by the embodiment of the present invention
Art scheme does not depend on the relevant information with original reference video, but is based on video transmission channel situation and video decoder distortion feelings
Condition specifically can be wireless channel measurement data and application layer transmission performance statistical data, to realize that the quality to video is commented
Estimate.Therefore it is not needed not only when video quality assessment technical solution assessment video quality provided by the embodiment of the present invention artificial
It participates in, does not also need the information for occupying network bandwidth transmission original reference video, be that one kind is applied widely, algorithm is simple, easily
In realization and the technical solution of objective video quality assessment.
The embodiment of the present invention is described in detail with reference to the accompanying drawing.
Fig. 2 shows the LTE that can be implemented within the embodiment of the present invention, (Long Term Evolution, is drilled for a long time
Into) structural schematic diagram of network.As shown in Fig. 2, including terminal UE 201,202 (Evolved of wireless access network E-UTRAN
UMTS Terrestrial Radio Access Network, the UMTS Terrestrial radio access network of evolution), evolution block core
Net EPC 203 (Evolved Packet Core, evolution block core net), internet 204 and video server 205.
Wherein, terminal UE 201 can by wireless access network E-UTRAN 202, evolution block core net EPC 203 with
And the data session with video server 205 is established in internet 204.Video server 205 passes through internet 204 and crosses over evolution
Packet-based core networks EPC 203 and wireless access network E-UTRAN 202 sends video data packets to terminal UE 201.Video point
Group can be using the compressed video information of video compression protocols, the transmission speed of video and the current energy of LTE network link
Power is related, such as when LTE network is undergoing high traffic load, if between terminal UE 201 and video server 205
Session is established, it can be with delayed video packet.
Wherein, terminal UE 201 involved by the embodiment of the present invention may include having holding for wireless communication function
Equipment, wearable device, calculates equipment or is connected to other processing equipments of radio modem mobile unit, and each
The user equipment (User Equipment, UE) of kind form, mobile station (Mobile station, MS), terminal (terminal),
Terminal device (Terminal Equipment) etc..For convenience of description, in the application, referred to as terminal or UE.
Wherein, the LTE in the embodiment of the present invention may be considered that corresponding to 3GPP (3rd Generation
Partnership Project, third generation affiliate) version 8 (Rel-8 or R8), version 9 (Rel-9 or R9), version 10
The version of (Rel-10 or R10) and 10 or more version, LTE network structure can be macrocellular, microcellulor, Pico cell, milli
Pico cell, the network be made of repeater and relay forwarding node and various mixed network structures (can be by macrocellulars, micro-
One of honeycomb, Pico cell, femtocell and repeater and relay forwarding node or a variety of compositions) etc., the present invention
This is not limited.
In the lte networks, the prior art is often used RTP (Real-time Transport in transmitting video data circulation
Protocol, real-time transport protocol) transport protocol, the form that video data stream is broken down into RTP packet transmitted, and bottom uses
LTE network standard.It should be understood that existing transport protocol further includes having RTCP (Realtime Transport
Control Protocol, RTCP Real-time Transport Control Protocol), (Resource ReSerVation Protocol, resource are pre- by RSVP
Stay agreement), RTSP (Real Time Streaming Protocol, real time streaming transport protocol) etc..
RTP is the transport protocol based on UDP (User Datagram Protocol, User Datagram Protocol).It is right at present
It answers and is not only defined in a series of RFC (Request For Comments, files being ranked with number) document RFC3550 of RTP
RTP, also defining matched related protocol RTCP, (Real-time Transport Control Protocol is passed in real time
Transport control protocol view), the standard for transmitting the real time datas such as audio, video, analogue data on the internet is described in detail in Real-time Transport Protocol
Data packet format,
RTP is located on transport layer (usually UDP), and under application program, Real-time Transport Protocol is from upper layer receiving stream media information
Code stream (such as real-time voice, the video data handled by analog-to-digital conversion and compressed encoding), first gives RTP encapsulation as RTP
Data packet is sent to lower layer, and lower-layer protocols provide the shunting of RTP and RTCP.Such as in UDP, RTP data packet is sent to udp port
RTCP control packet is sent to udp port centering odd number port, is provided by RTCP to RTP service quality by centering even port
Guarantee, including to RTP communication and session be managed (such as flow control, congestion control, session source control).
Based on the structural schematic diagram of LTE network shown in Fig. 2, and in the lte networks, video data stream is passed using RTP
Defeated agreement, the transmission feature for the LTE network standard that bottom uses, by taking transmission of streams of video data as an example, Fig. 3 shows of the invention
The technical concept of embodiment applies the schematic diagram in video data service.
As shown in figure 3, video data is packaged into after RTP data packet through being transmitted to reception by LTE wireless channel by transmitting terminal
End, the basic conception of the embodiment of the present invention technical solution are that (i.e. the LTE of transmission of video is wireless by research LTE network performance
Channel situation) and end-to-end transmission performance (i.e. RTP decoded packet data is distorted situation) Lai Jianli video quality assessment model, thus
Assessment is made to video quality, in the case where not depending on original video, is obtained and MOS in video quality subjective evaluation method points
Number has the video quality evaluation of preferable consistency.
It should be understood that since Real-time Transport Protocol supports a variety of needs such as voice, image, fax, audio, video to pass in real time
The end-to-end real-time Transmission service of defeated multi-medium data, can be used in unicast or multicast network transmitting real time data, therefore,
The technical concept of the embodiment of the present invention is applicable not only to video quality assessment, also being adapted to property be applied to other LTE nets
In the quality evaluation of network and/or the multimedia service of Real-time Transport Protocol carrying, such as audio transmission, visual telephone, multicast audio meeting
View, audio and videoconference, video on demand, Web TV, stream media system (cooperation RTSP agreement), network-based push to talk
The quality evaluation of the multimedia services such as (Push to Talk) system.Technical concept provided by the embodiment of the present invention can also be with
Adaptively it is applied to the quality evaluation of the multimedia service of other transport protocols carrying.Since research LTE network performance is
Transmission situation of the multi-medium data in wireless channel is studied, therefore, technical concept provided by the embodiment of the present invention may be used also
To be adaptively applied to UMTS (Universal Mobile Telecommunications System, universal mobile communications
System) 3G network and GSM (Global System for Mobile Communication, global system for mobile communications) 2G net
Network.
Fig. 4 shows the flow diagram of video quality evaluation method provided in an embodiment of the present invention, which can be by regarding
Frequency quality assessment device is realized, wherein video quality assessment device can be using realizing at the terminal or by terminal, can also be with
It is by for assessing or the network node of monitor video quality or network element device are realized, which includes the following steps:
Step 401: wireless channel measurement data and application layer transmission performance system during acquisition video data transmission
It counts.
Step 402: determining the difference and application layer transporting between wireless channel measurement data and the first assessment benchmark
Difference between energy statistical data and the second assessment benchmark.
Step 403: according to the difference determined, assessing the video quality of video data.
Below for using Real-time Transport Protocol to encapsulate audio, video data as application layer protocol in the lte networks, to the present invention
Embodiment is described in detail.
Schematic diagram based on Fig. 2 and network structure shown in Fig. 3 and the technical concept of the embodiment of the present invention, due to RTP
Agreement is for providing real-time Transmission, it is believed that and it is a sublayer of transport layer, for the angle of developer, the realization of RTP
The similar realization with application layer protocol, therefore Real-time Transport Protocol can also be regarded as application layer protocol.What is gone out shown in fig. 3 is logical
Crossing the partial data acquired in RTP data packet for video quality assessment then can be understood as application layer performance statistical data,
For reflecting end-to-end transmission performance (i.e. RTP decoded packet data distortion situation).
For RTP data packet, timestamp field be RTP data packet heading in illustrate the synchronous letter of packet time
Breath, is the key that data can be restored with correct time sequencing.RTP timestamp (timestamp stamped when encapsulation of data and matchmaker
The timestamp stamped on body frame is different) it is the SR combined according to the timestamp in neighbouring RTP data packet include in RTCP
What the time difference of the NTP timestamp in (Sender Report sender report) control grouping obtained, it can be used for calculating end-to-end
Delay and delay jitter, and carry out synchronously control etc..The heading of RTP data packet also includes sequence-number field, for identifying
The sequence number of the RTP data packet of transmission, one data packet of every transmission, sequence number increase 1.This field is in the bearing protocol of lower layer
UDP, and Network status it is bad when can be used to check packet loss, while when there is the case where network jitter can be used to data
It resequences etc..The transmission of RTP data packet is with for the monitoring and feedback, media to RTP data packet transmission quality
Between synchronization and multicast group in member mark the effects of RTCP data packet cyclical transmission, taken in RTCP data packet
The statistical data such as the quantity of RTP data packet of quantity, loss with the RTP data packet sent.
It is acquired in step 401 in some currently preferred embodiments of the present invention based on above to the analysis of Real-time Transport Protocol
Application layer transmission performance statistical data may include delay variation statistical data, packet loss statistical data, end-to-end time delay statistics
One of data or any combination.Application layer transmission performance statistical data can also include such as Bit Error Ratio Measurement data, number
According to packet throughput statistics data, data packet retransmission number statistical data etc..
Wherein, delay variation (RTP Jitter) statistical data, end-to-end time delay (RTP end-to-end time delay (ms)) statistical number
NTP timestamp when being sent according to the SR packet in the timestamp and RTCP data packet that can be according to RTP data packet messages head
Etc. statistics obtain;Packet loss (RTP Packet Loss Rate) statistical data can be the sequence according to RTP data packet messages head
Quantity, quantity of the data packet of loss of the data packet sent for including in row field and RTCP data packet etc. count
It arrives.
Schematic diagram based on Fig. 2 and network structure shown in Fig. 3 and the technical concept of the embodiment of the present invention, in Fig. 3
Shown being obtained by LTE wireless channel then can be understood as wireless channel for another part data of video quality assessment
Measurement data, for reflecting LTE network performance (i.e. the LTE wireless channel condition of transmission of video).
For the KPI index (Key Performance Indicator, Key Performance Indicator) of LTE network, mainly include
Covering and capacity two major classes index.Wherein, covering class index includes RSRP (Reference signal received
Power, Reference Signal Received Power), (Reference Signal Receiving Quality, reference signal receive RSRQ
Quality), SINR (Signal to Interference plus Noise Ratio, Signal to Interference plus Noise Ratio) or RS-
SINR (Reference Signal-SINR, public reference signal Signal to Interference plus Noise Ratio) is PHY layer (Physical Layer, physics
Layer) index.Wherein, RSRP is the important indicator for measuring system wireless network coverage rate, can be used to measure LTE network signal field
By force;RSRQ is the index of correlation of LTE reference signal quality, is defined as all signal powers in cell reference signals power relative cell
Ratio, real network coverage condition determines by RSRQ;SINR or RS-SINR is the index of correlation of the quality of signal, in LTE
Mainly for assessment of Traffic Channel or the performance of reference signal, RS-SINR value is higher, and efficiency of transmission is higher.
In addition, the data transmission procedure of LTE network is broken down into different protocol layers, for all protocol layers of LTE, speed
Rate is that (Packet Data Convergence Protocol is grouped PDCP closest to the protocol layer that user's actual speed rate perceives
Data convergence protocol) layer, therefore the actual speed rate of LTE network can use average PDCP rate representation.It is responsible for for PDCP layers executing head
Compression is responsible for transmitting the encryption of data and integrality guarantor in transmitting terminal to reduce the bit traffic that wireless interface must transmit
Protective function is responsible for executing decryption and decompressing function etc. in receiving end.There is a PDCP for an each radio bearer of terminal
Entity.
The wireless resource scheduling function of LTE is located at MAC (Media Access Control, media intervention control) layer, nothing
Line scheduling of resource can be realized by dynamic resource scheduling device.Dynamic resource scheduling device is according to the wireless chaining status of uplink and downlink channel
Carry out the distribution of physical resource, the radio resource of distribution include the RB (Resource Block, resource block) of every TTI quantity,
The position of resource block RB and MCS (Modulation and Coding Scheme, modulation and coding strategy) value etc..Its
In, TTI is the basic unit dispatched in LTE in the time domain.MCS (Modulation and Coding Scheme, modulation and volume
Code strategy) value for configuring LTE medium-rate.MCS will affect column of the factor as table of traffic rate, and MCS value is made
For row, a Speedometer Drive is formed.The value of each MCS has corresponded to the physical transmission rate under the factor of one group of influence rate.
It is acquired in step 401 in some currently preferred embodiments of the present invention based on above to the analysis of LTE network
Wireless channel measurement data may include one of physical layer measurement data, transport layer measurement data or any combination.According to
The division of LTE protocol layer, wireless channel measurement data can specifically include rrc layer (Radio Resource Control, wirelessly
Resource Control Layer), PDCP layers, RLC (Radio Link Control, wireless chain control layer), MAC layer and PHY layer etc. association
Discuss the corresponding measurement data of one or more layers in layer.
Specifically, physical layer measurement data may include one of signal strength, signal-to-noise ratio or any combination.Wherein,
Signal strength can indicate that signal-to-noise ratio can be by the corresponding covering of signal-to-noise ratio PHY layer by the corresponding covering class index RSRP of PHY layer
Class index RS-SINR is indicated.According to the index of LTE network PHY layer, PHY layer measurement data can also include that PHY layer is corresponding
RSRQ and SINR etc..
Specifically, transport layer measurement data may include modulating-coding strategy measurement data, scheduling of resource measurement data, pass
One of defeated rate or any combination.Wherein, modulating-coding strategy measurement data can be by the corresponding scheduling class index of MAC layer
The value of average MCS indicates that scheduling of resource measurement data can be indicated by the RB number of every TTI of the corresponding scheduling class index of MAC layer, passes
Defeated rate can be averaged PDCP rate representation by PDCP layers of corresponding scheduling class index.According to the index of LTE network PHY layer, pass
Defeated layer measurement data can also include PDCP laminar flow amount, MAC layer flow etc..
According to description above, in some currently preferred embodiments of the present invention, acquired video data is passed in step 401
Wireless channel measurement data and application layer transmission performance statistical data during defeated can specifically as shown in table 1:
One example of table 1, wireless channel measurement data and application layer transmission performance statistical data
The wireless channel measurement data and application layer transporting during video data transmission are got in step 401
Can after statistical data, then can execute determined described in step 402 wireless channel measurement data and the first assessment benchmark it
Between difference and application layer transmission performance statistical data and second assessment benchmark between difference.
Since the transmission of video under ideal transmission channel theoretically assume that be lossless, i.e., video quality is most
Height, in some embodiments of the invention, the first assessment benchmark and the second assessment benchmark can be and exist according to video data packet
Wireless channel measurement data corresponding to the process of Lossless transport and application layer transmission performance statistical number in desired transmission channel
According to determining, wherein the first assessment benchmark is for the process according to video data packet Lossless transport in ideal transmission channel right
The wireless channel measurement data answered, the second assessment benchmark are the mistake according to video data packet Lossless transport in ideal transmission channel
Application layer transmission performance statistical data corresponding to journey.
Specifically, the relevant parameter of desired transmission channel can be taking for preparatory identified one group of channel relevant parameter
Value, in the case that this group of channel relevant parameter can guarantee the value other better than this group of channel relevant parameter, transmission channel
Quality of service be also optimal and will not change therewith, wherein can be the reckoning based on the threshold value that tests out and theory
Value determines the value of this group of channel relevant parameter.
Wherein, since the first assessment benchmark is according to the process institute of video data packet Lossless transport in ideal transmission channel
Corresponding wireless channel measurement data, and wireless channel measurement data may include having transport layer measurement data, that is, dispatch class
Measurement data, and the scheduling of resource of physical layer has application rate corresponding to the business application initiated with terminal in equal proportion
The relationship of promotion, table 2 show different business and apply for a specific example of the relationship of rate.Therefore, desired transmission channel
Channel relevant parameter determination, such as scheduling class measurement data determination, should also be considered application rate influence.Specifically
Ground, if application rate increases, the RB number of the corresponding every TTI of desired transmission channel and average PDCP rate also propose equal proportion
It rises.
One example of the relationship of table 2, different business and application rate
Business | Apply for rate |
SD voice | 12.2Kps |
High definition voice | 24Kbps |
Ordinary video (320*240) | 256Kbps |
SD video (640*480) | 512Kbps |
High definition 720P video (1280*720) | 2Mbps |
High definition 1080P video 1920*1080 | 4Mbps |
Based on wireless channel measurement data shown in table 1 and application layer transmission performance statistical data, shown in table 2
Application rate be 24kpbs for, in some currently preferred embodiments of the present invention, first assessment benchmark and second assessment benchmark
It can specifically as shown in table 3:
Table 3, first assesses an example of benchmark and the second assessment benchmark
In some embodiments of the invention, the difference between wireless channel measurement data and the first assessment benchmark is determined,
And the difference between application layer transmission performance statistical data and the second assessment benchmark, it specifically can be using calculating wireless communication
Difference between road measurement data and the first assessment benchmark, and calculate application layer transmission performance statistical data and the second assessment base
Difference between standard is realized.
Determine that difference and application layer between wireless channel measurement data and the first assessment benchmark pass in step 402
After difference between defeated performance statistic and the second assessment benchmark, step 403 can be further executed, i.e., according to determination
Difference out assesses the video quality of video data.
Since basis above can see the analysis of existing subjective quality assessment method and objective quality assessment method, visitor
The purpose of appearance quality appraisal procedure is can to reach the precision of subjective quality assessment method, objective quality assessment method to greatest extent
The result consistency or correlation that should be able to then have with the result of subjective quality assessment method.It is commented based on subjective quality
Estimate and uses MOS score as video evaluations as a result, in some embodiments of the invention, the mode of marking is also taken in method
Determine the result of video quality assessment.
Specifically, the execution of step 403 may include between with good grounds wireless channel measurement data and the first assessment benchmark
Difference, determine the corresponding score of wireless channel measurement data, and comment with second according to application layer transmission performance statistical data
Estimate the difference between benchmark, determines the corresponding score of application layer transmission performance statistical data;And then according to wireless channel measurement number
According to corresponding score and weight and the corresponding score of application layer transmission performance statistical data and weight, determine for assessing view
The score of the video quality of frequency evidence.
According to description above, the first assessment benchmark and the second assessment benchmark represent video data and believe in desired transmission
The situation of Lossless transport in road, wherein first it is corresponding to assess benchmark is quality of wireless channel, and the second evaluation criteria is corresponding to be
Application layer transmission quality, in some currently preferred embodiments of the present invention, in step 403 according to wireless channel measurement data and the
Difference between one assessment benchmark, can determine the corresponding score of wireless channel measurement data in the following way: if according to
Wireless channel measurement data determine that quality of wireless channel is higher than the first assessment benchmark, it is determined that wireless channel measurement data are corresponding
Score is full marks, otherwise, according to the difference between wireless channel measurement data and the first assessment benchmark, determines wireless channel measurement
The corresponding score of data, wherein fractional value is inversely proportional with difference size;And according to application layer transmission performance statistical data and the
Difference between two assessment benchmark, can determine the corresponding score of application layer transmission performance statistical data in the following way:
If determining that application layer transmission quality is higher than the second assessment benchmark according to application layer transmission performance statistical data, it is determined that application layer passes
The corresponding score of defeated performance statistic is full marks, otherwise, according to application layer transmission performance statistical data and the second assessment benchmark,
Determine the corresponding score of application layer transmission performance statistical data, wherein fractional value is inversely proportional with difference size.
According in some currently preferred embodiments of the present invention described above, application layer transmission performance statistical data can be with
Including one of delay variation statistical data, packet loss statistical data, end-to-end time delay statistical data or any combination;Wirelessly
Channel sounding data may include one of physical layer measurement data, transport layer measurement data or any combination;Physical layer is surveyed
Measuring data may include one of signal strength, signal-to-noise ratio or any combination;And transport layer measurement data may include adjusting
One of coding strategy measurement data processed, scheduling of resource measurement data, transmission rate or any combination, therefore application layer is transmitted
Each data in performance statistic and wireless channel measurement data can respectively be corresponding with a score.
Specifically, in some embodiments of the invention, for the determination of wireless channel measurement data reciprocal fraction, with letter
For number field strength (RSRP in table 1), the determination for describing RSRP reciprocal fraction in wireless channel measurement data is as follows:
It is the case where signal strength, i.e. reflection signal covering is indicated due to RSRP, usually best in existing measurement standard
Coverage effect be corresponding with the theoretical value of a RSRP, in the case where RSRP is higher than the theoretical value, coverage effect is at
Optimal state, and it is less than the theoretical value in RSRP, and difference is in a certain range, although can support that LTE network is normal
The transmission of business, but quality will be reduced with the reduction of RSRP, it is therefore contemplated that RSRP is direct ratio index.If wireless
RSRP measurement data in channel sounding data is greater than or equal to the theoretical value of RSRP, then can determine the RSRP measurement data institute
Corresponding quality of wireless channel is higher than quality of wireless channel or identical corresponding to the theoretical value of RSRP in the first assessment benchmark,
It, can will be in the RSRP measurement data of above range class hence for the RSRP measurement data of the theoretical value more than or equal to RSRP
Corresponding score is determined as full marks, otherwise, (for example can be counted according to the difference between RSRP measurement data and the theoretical value of RSRP
Calculate the difference of the two), to determine the corresponding score of RSRP measurement data.
In some embodiments of the present invention, it can be assumed that full marks are 100 points, then the corresponding score of RSRP measurement data can be with
Pass through formula: 100- [(theoretical value-RSRP measurement data of RSRP)/(minimum value of the theoretical value-RSRP of RSRP)] * 100;Its
In, minimum RSRP refers to the minimum receiving point frequency that business can be normally carried out under LTE network, generally -115dBm.
It is similar with RSRP, signal-to-noise ratio (RS-SINR in such as table 1) and modulating-coding in wireless channel measurement data
Tactful measurement data, scheduling of resource measurement data and transmission rate (the RB number of average MCS, every TTI in such as table 1 and average
PDCP rate) may be considered direct ratio index, accordingly it is also possible to determined according to the calculating process similar with RSRP respectively it is right
The score answered.
Specifically, in some embodiments of the invention, really for application layer transmission performance statistical data reciprocal fraction
It is fixed, by taking delay variation statistical data (the RTP Packet Delay shake in table 1) as an example, application layer transmission performance statistical number is described
Determination according to middle delay variation statistical data reciprocal fraction is as follows:
Since the shake of RTP Packet Delay reflects the amount of delay of the end-to-end transmission of RTP data packet, when delay exceeds
When caching capabilities or excessive shake, it will lead to decoder active packet loss, cause the decline of video quality.It is marked in existing measurement
In standard, usual optimal application layer laser propagation effect is corresponding with the theoretical value of RTP Packet Delay shake, in RTP data packet
In the case that delay variation is less than the theoretical value, application layer laser propagation effect is at optimal state, and in RTP data packet
Prolong shake and be greater than the theoretical value, and difference is in a certain range, although the transmission of regular traffic can be supported, quality will be with
RTP Packet Delay shake increase and reduce,
It is therefore contemplated that RTP Packet Delay is dithered as inverse ratio index.If in application layer transmission performance statistical data
RTP Packet Delay flap-statistics be less than or equal to RTP Packet Delay shake theoretical value, then can determine this
When application layer transmission quality corresponding to RTP Packet Delay flap-statistics is higher than RTP data packet in the first assessment benchmark
Prolong application layer transmission quality or identical corresponding to the theoretical value of shake, hence for less than or equal to RTP Packet Delay
RTP Packet Delay in above range can be shaken and be united by the RTP Packet Delay flap-statistics of the theoretical value of shake
It counts corresponding score and is determined as full marks, otherwise, according to RTP Packet Delay flap-statistics and RTP Packet Delay
Difference (such as difference that the two can be calculated) between the theoretical value of shake, to determine that RTP Packet Delay shakes statistical number
According to corresponding score.
In some embodiments of the present invention, it can be assumed that full marks are 100 points, then RTP Packet Delay flap-statistics
Corresponding score can pass through formula: the 100- [(reason of RTP Packet Delay flap-statistics-RTP Packet Delay shake
By value)/(theoretical value of the maximum value-RTP Packet Delay shake of RTP Packet Delay shake)] * 100;Wherein, RTP data
The maximum value of packet delay shake refers to the delay variation that can be normally carried out the maximum allowable RTP data packet of business, generally 200~
300ms。
Shaken with RTP Packet Delay it is similar, in application layer transmission performance statistical data packet loss statistical data and
End-to-end time delay statistical data (RTP packet loss, RTP end-to-end time delay in such as table 1) may be considered inverse ratio index, because
This, can also determine corresponding score according to similar calculating process is shaken with RTP Packet Delay.
In some embodiments of the present invention, the corresponding score of wireless channel measurement data is being determined by the above process, with
And after the corresponding score of application layer transmission performance statistical data, then can according to the corresponding score of wireless channel measurement data and
Weight and the corresponding score of application layer transmission performance statistical data and weight determine the video matter for assessing video data
The score of amount.
Wherein, bigger, i.e., more high-rise index, measurement are influenced for application itself due to the index closer to application layer
Or difference between statistical data and ideal value, bigger on the influence of business (such as video traffic) quality, low layer refers under normal circumstances
Mark difference can eliminate the effects of the act with the protection mechanism of later each layer, therefore for application layer transmission performance statistical data and wirelessly
In the distribution of the weight of channel sounding data, the corresponding weight of application layer transmission performance statistical data is higher than wireless channel measurement
The corresponding weight of data.
Specifically, in some embodiments of the invention, due to the covering class index RSRP in wireless channel measurement data
It is physical layer index with RS-SINR (or SINR), therefore weight minimum can be distributed, for example it can be distributed and commented in video quality
Weight in estimating is 20%;Scheduling class index in wireless channel measurement data is averaged MCS, the RB number of every TTI and average
PDCP rate includes physical layer to PDCP layers, therefore can be with the higher weight of distribution ratio physical layer index, for example can distribute it
Weight in video quality assessment is 25%;End-to-end class index RTP data packet in application layer transmission performance statistical data
Delay variation, RTP packet loss and RTP end-to-end time delay are RTP layers of index, closest to application layer, influence maximum, therefore can be with
It is maximum to distribute weight, for example can distribute its weight in video quality assessment is 55%.Table 4 is shown based on Tables 1 and 2
On the basis of weight in video quality assessment of application layer transmission performance statistical data and wireless channel measurement data distribution:
The weight of table 4, application layer transmission performance statistical data and wireless channel measurement data in video quality assessment
Distribution
In some embodiments of the invention, can according to the corresponding score of wireless channel measurement data and weight, and
The corresponding score of application layer transmission performance statistical data and weight, finally determine the video quality for assessing video data
Score, such as the weight based on each data in wireless channel measurement data shown in table 4 and application layer transmission performance statistics
The weight of each data in data, can (score × 10%+RS-SINR score × 10%+ of RSRP be average according to calculating formula
Score × 5%+ of the RB number of the every TTI of score × 10%+ of MCS is averaged score × 10%+RTP Packet Delay of PDCP rate
The score of shake × 10%+RTP packet loss × 40%+RTP end-to-end time delay × 5%) come determine assessment video data view
The score of frequency quality.
It include obtaining nothing by above description as can be seen that in the technical solution provided by the embodiment of the present invention
Line channel sounding data (such as related measurement data of LTE wireless channel) and application layer transmission performance statistical data (such as RTP
The related measurement data of the end-to-end transmission of data packet) Lai Jinhang video quality assessment process, the embodiment of the present invention provided
Technical solution further define influence video quality some preferred wireless channel measurement data and application layer transmission performance system
It counts, further defines in the corresponding wireless channel measurement data of ideal channel videos data lossless transmission and application layer transmission
The theoretical value (i.e. ideal value) of performance statistic, at the same technical solution provided by the embodiment of the present invention further define it is above-mentioned
Weight distribution of each data in video quality assessment.
In conclusion in the video quality evaluation method provided in embodiments of the present invention, by obtaining video counts first
According to the wireless channel measurement data and application layer transmission performance statistical data in transmission process, then determine wireless channel measurement number
The difference between benchmark and the difference between application layer transmission performance statistical data and the second assessment benchmark are assessed according to first,
According to the difference determined, the video quality assessment to video data is realized.It can be seen that provided by the embodiment of the present invention
Video quality assessment technical solution does not need not only artificially to provide subjective feeling when assessing video quality, does not need additionally to obtain yet
The information of original reference video is taken, but is based on video transmission channel situation and video decoder distortion situation, i.e., by obtaining nothing
Line channel sounding data and application layer transmission performance statistical data, to realize the quality evaluation to video, therefore can not only
Objectively video quality is assessed, will not additionally occupy network transmission bandwidth, and due to wireless channel measurement data
And application layer transmission performance statistical data is easily obtained, for example passes through terminal (such as personal computer, mobile phone etc.) or terminal
On the modes such as APP software can obtain, and the algorithm based on accessed data is also relatively simple, therefore to executing master
The processing capacity of body is of less demanding, for example the assessment to video quality can be realized in single terminal, and execution efficiency is high, assessment result
Can be linearly related with subjectivity marking result (MOS), scalability is strong, and it is applied widely, it is applicable not only to video traffic, may be used also
Suitable for the multimedia service assessment that other LTE networks and Real-time Transport Protocol carry, there is very high application value.Therefore, it can see
To video quality assessment technical solution provided by the embodiment of the present invention realize a kind of scope of application is relatively wide, algorithm is simple,
The objective video quality assessment technical solution being easily achieved.
Based on the same technical idea, the embodiment of the present invention also provides a kind of video quality assessment device, which can hold
The above-mentioned video quality evaluation method embodiment of row.Video quality assessment device provided in an embodiment of the present invention is as shown in figure 5, packet
It includes:
Module 501 is obtained, is passed for obtaining wireless channel measurement data during video data transmission and application layer
Defeated performance statistic;
Determining module 502, for determining the difference between wireless channel measurement data and the first assessment benchmark, and application
Difference between layer transmission performance statistical data and the second assessment benchmark;
Evaluation module 503, for assessing the video quality of video data according to the difference determined.
Wherein, application layer transmission performance statistical data include delay variation statistical data, it is packet loss statistical data, end-to-end
One of delay statistics data or any combination.
Wherein, wireless channel measurement data include one of physical layer measurement data, transport layer measurement data or any
Combination.
Specifically, physical layer measurement data includes one of signal strength, signal-to-noise ratio or any combination.
Specifically, transport layer measurement data includes modulating-coding strategy measurement data, scheduling of resource measurement data, transmission speed
One of rate or any combination.
In some embodiments of the invention, evaluation module 503 are specifically used for:
According to the difference between wireless channel measurement data and the first assessment benchmark, determine that wireless channel measurement data are corresponding
Score, and according to application layer transmission performance statistical data and second assessment benchmark between difference, determine application layer transmit
The corresponding score of performance statistic;
It is corresponding according to the corresponding score of wireless channel measurement data and weight and application layer transmission performance statistical data
Score and weight determine the score for assessing the video quality of video data.
In some embodiments of the invention, evaluation module 503 are specifically used for:
If determining that quality of wireless channel is higher than the first assessment benchmark according to wireless channel measurement data, it is determined that wireless channel
The corresponding score of measurement data is full marks, otherwise, according to the difference between wireless channel measurement data and the first assessment benchmark, really
Determine the corresponding score of wireless channel measurement data, wherein fractional value is inversely proportional with difference size;
If determining that application layer transmission quality is higher than the second assessment benchmark according to application layer transmission performance statistical data, it is determined that
The corresponding score of application layer transmission performance statistical data is full marks, otherwise, according to application layer transmission performance statistical data and second
Benchmark is assessed, determines the corresponding score of application layer transmission performance statistical data, wherein fractional value is inversely proportional with difference size.
In some embodiments of the invention, the corresponding weight of application layer transmission performance statistical data is higher than wireless channel
The corresponding weight of measurement data.
Based on the application of existing video quality assessment, video quality assessment technical solution provided by the embodiment of the present invention is not
Only can using with special video quality assessment scene, can also further using with such as video encoder end, pass through
Video quality assessment technical solution provided by the embodiment of the present invention assesses the output video quality of video encoder, passes through matter
Amount feedback is carried out the design of Optimized Coding Based device and is evaluated and optimized etc. to the performance of different coding device (or coding standard).
It should be pointed out that in the case where the embodiment of the present invention is applied to the scene of terminal (such as mobile phone), due to the terminal of such as cell phone type
Itself have and wireless channel is measured to obtain the function of wireless channel measurement data, therefore for the end of similar cell phone type
End can have the condition for obtaining wireless channel measurement data based on terminal to further simplify the embodiment of the present invention
The specific implementation of provided video quality assessment technical solution, such as can be directly by reading the terminal stored on memory
The function having originally by itself obtains wireless channel measurement data etc..
Video quality assessment technical solution provided by embodiment of the invention can also be monitored using with video quality,
The performance of real-time or non real-time monitoring transmission channel and video system, monitoring analysis video flowing (such as monitoring CMMB, number electricity
It is crucial in physical medium service operation and monitoring depending on IPTV, the quality of these vision signals such as internet video) etc.
Demand is can not to influence service operation, has low complex degree, real-time stabilization, while not influencing privacy of user, through the invention
Embodiment provided by video quality assessment technical solution can evaluate video frequency data quality it is not high in the case where, pass through
Quality Feedback enables service providers to take appropriate measures in time, the problem in restored video transmission process, etc.
Many actual application scenarios.
Specifically, video quality evaluation method and device provided by the embodiment of the present invention can be realized by terminal, or
Person can be realized with other network nodes or network element device (such as video monitoring equipment).One embodiment of the present of invention additionally provides
A kind of application has the terminal of video quality assessment device provided by the embodiment of the present invention, which can realize previous embodiment
The process in video quality evaluation method of description.
Referring to Fig. 6, there is the structure of the terminal of video quality assessment device for the application that one embodiment of the present of invention provides
Schematic diagram, the terminal can include: processor 601, memory 602, transceiver 603 and bus interface.
Processor 601, which is responsible for management bus architecture and common processing, memory 602, can store processor 601 and is holding
Used data when row operation.Transceiver 603 is for sending and receiving data under the control of processor 601.
Bus architecture may include the bus and bridge of any number of interconnection, specifically represented by processor 601 one or
The various circuits for the memory that multiple processors and memory 602 represent link together.Bus architecture can also will be such as outer
Various other circuits of peripheral equipment, voltage-stablizer and management circuit or the like link together, these are all that this field institute is public
Know, therefore, it will not be further described herein.Bus interface provides interface.Transceiver 603 can be multiple members
Part includes transmitter and transceiver, provides the unit for communicating over a transmission medium with various other devices.Processor
601 are responsible for management bus architecture and common processing, and memory 602 can store processor 601 and be used when executing operation
Data.
The video quality assessment process that the embodiment of the present invention discloses can be applied to by processor 601, memory 602, receive
The terminal that hair machine 603 and bus interface are constituted, or by processor 601, memory 602, transceiver 603 and bus interface
The terminal of composition is realized.During realization, each step of video quality assessment process can pass through processor 601, memory
602, the integrated logic circuit of the hardware in the terminal that transceiver 603 and bus interface are constituted or the instruction of software form are complete
At.Processor 601, memory 602, transceiver 603 and bus interface may include general processor, Digital Signal Processing
Device, specific integrated circuit, field programmable gate array or other programmable logic device, discrete gate or transistor logic device
Part, discrete hardware components may be implemented or execute disclosed each method, step and logic diagram in the embodiment of the present invention.
General processor can be microprocessor or any conventional processor etc..The video matter in conjunction with disclosed in the embodiment of the present invention
The step of measuring appraisal procedure can be embodied directly in terminal and execute completion, or combined and executed with the hardware and software module of terminal
It completes.Software module can be located at random access memory, flash memory, read-only memory, programmable read only memory or electrically-erasable
In the storage medium of this fields such as programmable storage, register maturation.The storage medium is located at memory 602, processor 601
The information in memory 602 is read, control transceiver 603 sends and receivees data, completes video quality assessment stream in conjunction with hardware
The step of journey.
Specifically, the terminal being made of processor 601, memory 602, transceiver 603 and bus interface, under can be performed
Column process:
Processor 601, for obtaining wireless channel measurement data and application layer transmission during video data transmission
Performance statistic;It is also used to determine that difference and application layer between wireless channel measurement data and the first assessment benchmark pass
Difference between defeated performance statistic and the second assessment benchmark;It is also used to assess video data according to the difference determined
Video quality.
Wherein, video data can be received by transceiver 603, the video according to received by transceiver 603 of processor 601
Data obtain the wireless channel measurement data and application layer transmission performance statistical data during video data transmission;Its
In, for the terminal of such as cell phone type, processor 601 can obtain video data transmission process by the other application in terminal
In wireless channel measurement data and/or application layer transmission performance statistical data.Processor 601 can also read memory 602
In program and data: such as first assessment benchmark and second assessment benchmark can be stored in advance in the memory 602, by handling
Device 601 is read from memory 602;Processor 601 is according to the difference determined, after the video quality for assessing video data,
Some application programs that memory 602 can also be write the result into and be supplied in the terminal, or transmitting-receiving can also be controlled
Machine 603 is fed back etc. to needing other network element devices using video quality evaluation.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (12)
1. a kind of video quality evaluation method characterized by comprising
Obtain the wireless channel measurement data and application layer transmission performance statistical data during video data transmission;
Determine that difference and the application layer transmission performance between the wireless channel measurement data and the first assessment benchmark are united
Count the difference between the second assessment benchmark;
According to the difference between the wireless channel measurement data and the first assessment benchmark, the wireless channel measurement data are determined
Corresponding score, and according to the difference between the application layer transmission performance statistical data and the second assessment benchmark, determine institute
State the corresponding score of application layer transmission performance statistical data;
According to the corresponding score of the wireless channel measurement data and weight and the application layer transmission performance statistical data pair
The score and weight answered determine the score for assessing the video quality of the video data;
Wherein, if determining that quality of wireless channel is higher than the first assessment benchmark according to the wireless channel measurement data, really
Determining the corresponding score of the wireless channel measurement data is otherwise full marks are commented according to the wireless channel measurement data with first
Estimate the difference between benchmark, determines the corresponding score of the wireless channel measurement data, wherein fractional value is with difference size at anti-
Than;
According to the difference between the application layer transmission performance statistical data and the second assessment benchmark, the application layer transmission is determined
The corresponding score of performance statistic, comprising:
If determining that application layer transmission quality is higher than the second assessment benchmark according to the application layer transmission performance statistical data,
It determines that the corresponding score of the application layer transmission performance statistical data is full marks, otherwise, is united according to the application layer transmission performance
Count with the second assessment benchmark, determine the corresponding score of the application layer transmission performance statistical data, wherein fractional value and poor
Different size is inversely proportional.
2. the method as described in claim 1, which is characterized in that the application layer transmission performance statistical data includes delay variation
One of statistical data, packet loss statistical data, end-to-end time delay statistical data or any combination.
3. the method as described in claim 1, which is characterized in that the wireless channel measurement data include physical layer measurement number
According to one of, transport layer measurement data or any combination.
4. method as claimed in claim 3, which is characterized in that the physical layer measurement data includes signal strength, signal-to-noise ratio
One of or any combination.
5. method as claimed in claim 3, which is characterized in that the transport layer measurement data includes the measurement of modulating-coding strategy
One of data, scheduling of resource measurement data, transmission rate or any combination.
6. the method as described in claim 1, which is characterized in that the corresponding weight of the application layer transmission performance statistical data,
Weight corresponding higher than the wireless channel measurement data.
7. a kind of video quality assessment device characterized by comprising
Module is obtained, for obtaining wireless channel measurement data and application layer transmission performance system during video data transmission
It counts;
Determining module, for determining the difference between the wireless channel measurement data and the first assessment benchmark and described answering
With the difference between layer transmission performance statistical data and the second assessment benchmark;
Evaluation module, for determining the nothing according to the difference between the wireless channel measurement data and the first assessment benchmark
The corresponding score of line channel sounding data, and according between the application layer transmission performance statistical data and the second assessment benchmark
Difference, determine the corresponding score of the application layer transmission performance statistical data;
The evaluation module is specifically used for according to the corresponding score of the wireless channel measurement data and weight and described answers
With the corresponding score of layer transmission performance statistical data and weight, point of the video quality for assessing the video data is determined
Number;
Wherein, if determining that quality of wireless channel is higher than the first assessment benchmark according to the wireless channel measurement data, really
Determining the corresponding score of the wireless channel measurement data is otherwise full marks are commented according to the wireless channel measurement data with first
Estimate the difference between benchmark, determines the corresponding score of the wireless channel measurement data, wherein fractional value is with difference size at anti-
Than;
If determining that application layer transmission quality is higher than the second assessment benchmark according to the application layer transmission performance statistical data,
It determines that the corresponding score of the application layer transmission performance statistical data is full marks, otherwise, is united according to the application layer transmission performance
Count with the second assessment benchmark, determine the corresponding score of the application layer transmission performance statistical data, wherein fractional value and poor
Different size is inversely proportional.
8. device as claimed in claim 7, which is characterized in that the application layer transmission performance statistical data includes delay variation
One of statistical data, packet loss statistical data, end-to-end time delay statistical data or any combination.
9. device as claimed in claim 7, which is characterized in that the wireless channel measurement data include physical layer measurement number
According to one of, transport layer measurement data or any combination.
10. device as claimed in claim 9, which is characterized in that the physical layer measurement data includes signal strength, signal-to-noise ratio
One of or any combination.
11. device as claimed in claim 9, which is characterized in that the transport layer measurement data includes that modulating-coding strategy is surveyed
Measure one of data, scheduling of resource measurement data, transmission rate or any combination.
12. device as claimed in claim 7, which is characterized in that the corresponding weight of the application layer transmission performance statistical data,
Weight corresponding higher than the wireless channel measurement data.
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