CN102056009B - Method and device for evaluating image quality of video sequence - Google Patents
Method and device for evaluating image quality of video sequence Download PDFInfo
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Abstract
The invention discloses a method and a device for evaluating image quality of a video sequence, and the method and device provided disclosed by the invention are used for providing a scheme suitable for evaluating the quality of a video image of a mobile TV (television). The method comprises the following steps: respectively confirming the number of interior coded macro-blocks of each frame video image in a video sequence to be evaluated, and respectively confirming the severity value of each frame video image; and evaluating the quality of each frame video image by utilizing the number of the interior coded macro-blocks and the severity values.
Description
Technical field
The present invention relates to the Computers and Communication technical field, relate in particular to a kind of image quality measure method and device of video sequence.
Background technology
In image compression encoding and decoding field; Existing H.264, a plurality of compression coding and decoding standards such as MPEG-2, MPEG-4, JPEG2000, AVS, when adopting these compression coding and decoding standards that image is carried out compressed encoding, under the prerequisite that keeps better picture quality; Can reach very high compression ratio; But inevitably, under the high compression ratio situation, also can introduce image damage in various degree, these damages mainly comprise blocking effect, image blurring, noise, chromatic distortion, ring etc.; And for the image that damage occurred is carried out quality evaluation, prior art mainly adopts subjective evaluation and these two kinds of evaluation schemes of objective measurement.
Subjective evaluation is directly to utilize the direct reflection of observer to tested picture quality; Come picture quality is assessed; The defective that subjective evaluation exists is that length consuming time, expense are high, stability and portable poor, therefore is not suitable for real-time video image quality assessment; And the main stream approach of objective measurement at present has full reference frame (FR, Full-Reference) method of measurement, half reference frame (RR, Reduced-Reference) method of measurement and no reference frame (NR, No-Reference) method of measurement etc.
In the prior art; Above-mentioned two kinds of evaluation schemes mainly are applicable to SD video image (SD:720 * 540 resolution) or high clear video image (HD:1920 * 1080 resolution), and can not be applicable to that through H.264 reaching the form that obtains behind the AVS standard compression coding be that QVGA form and resolution are merely 320 * 240 mobile TV video image.
Summary of the invention
The embodiment of the invention provides a kind of image quality measure method and device of video sequence, in order to a kind of scheme that the quality of mobile TV video image is assessed that is applicable to be provided.
The embodiment of the invention adopts following technical scheme:
A kind of image quality measure method of video sequence comprises: confirm the intra-coded macroblock number of each frame video image in the video sequence to be assessed respectively, and confirm the severity numerical value of said each frame video image respectively; Utilize said intra-coded macroblock number and said severity numerical value, the quality of said each frame video image is assessed.
Preferably, utilize said intra-coded macroblock number and said severity numerical value, the quality of said each frame video image assessed specifically and can be comprised:
The intra-coded macroblock number that first frame video image is comprised is confirmed as the intra-coded macroblock number difference of the former frame image of said first frame video image and the said first frame video; Any frame video image except that first frame video image in the said video sequence is carried out following step; Until accomplishing the quality of said each frame video image is assessed: confirm the intra-coded macroblock number difference of the former frame video image of this frame video image and this frame video image, and confirm the severity numerical value difference of this frame video image and said former frame video image; Whether is first frame video image with the relation of the macroblock number threshold value of presetting, said severity numerical value difference with relation and this frame video image of the severity threshold value of presetting according to said intra-coded macroblock number difference, and the quality of this two field picture is assessed.
Preferably; Whether relation and this frame video image according to relation, severity numerical value difference and the severity threshold value of intra-coded macroblock number difference and macroblock number threshold value are first frame video image; The quality of this two field picture assessed specifically comprise: when said intra-coded macroblock number difference is not more than said macroblock number threshold value; Or said severity numerical value difference is when being not more than said severity threshold value, and the quality of confirming this two field picture is for well; When said intra-coded macroblock number difference greater than said macroblock number threshold value; And said severity numerical value difference is during greater than said severity threshold value, and when this two field picture was first two field picture, the quality of confirming this two field picture was for well; Otherwise the quality of judging this two field picture is for poor.
Preferably, the intra-coded macroblock number of confirming each frame video image in the video sequence to be assessed respectively specifically comprises: any frame video image in the said video sequence is carried out following step:
Confirm the macro block in this frame video image; In the macro block from this frame video image of confirming, choose the macro block that macro block (mb) type is the intra-coded macroblock type; The number of the macro block that statistics is chosen is as the intra-coded macroblock number of this frame video image.
Preferably, the severity numerical value of definite said each frame video image specifically can comprise respectively: any frame video image in the said video sequence is carried out following step:
Confirm to be positioned at this frame video image first required bit number of other video images before in the said video sequence of transmission, and confirm this frame video image of transmission and the second required bit number of said other video images; Confirm the difference of said second bit number and first bit number; The ratio of the number of pixels that said difference and this frame video image are comprised is confirmed as the severity numerical value of this frame video image.
A kind of image quality measure device of video sequence comprises: first confirms the unit, is used for confirming respectively the intra-coded macroblock number of each frame video image of video sequence to be assessed; Second confirms the unit, is used for confirming respectively the severity numerical value of said each frame video image; Assessment unit is used to utilize first to confirm the definite said severity numerical value of said intra-coded macroblock number and second definite unit that the unit is confirmed, the quality of said each frame video image is assessed.
Severity numerical value and the intra-coded macroblock number of token image content change degree of the embodiment of the invention through utilizing the token image content complexity; Come video image quality is assessed; Because when utilizing above-mentioned evaluate parameter that picture quality is assessed; Above-mentioned evaluate parameter can not be subject to coding format, so this scheme of providing of the embodiment of the invention can be applicable to the quality of mobile TV video image is assessed.
Description of drawings
The idiographic flow sketch map of the quality image appraisal procedure of a kind of video sequence that Fig. 1 provides for the embodiment of the invention;
Fig. 2 a is the main realization principle flow chart of the embodiment of the invention 1;
Fig. 2 b is each two field picture and the corresponding relation sketch map of intra-coded macroblock number in the auto.yuv sequence;
Fig. 2 c is the corresponding relation sketch map of each two field picture and the severity numerical value of confirming in the auto.yuv sequence;
Fig. 3 a is the main realization principle flow chart of the embodiment of the invention 2;
Fig. 3 b is each two field picture and the corresponding relation sketch map of intra-coded macroblock number in the branch.yuv sequence;
Fig. 3 c is the corresponding relation sketch map of each two field picture and the severity numerical value of confirming in the branch.yuv sequence;
The structural representation of the image quality measure device of a kind of video sequence that Fig. 4 provides for the embodiment of the invention.
Embodiment
The embodiment of the invention is through utilizing severity numerical value and the intra-coded macroblock number that is not subject to coding format; Come video image quality is assessed, so this scheme of providing of the embodiment of the invention can be applicable to the quality of mobile TV video image is assessed.
Carry out detailed elaboration below in conjunction with each accompanying drawing to the main realization principle of embodiment of the invention technical scheme, embodiment and to the beneficial effect that should be able to reach.
The embodiment of the invention at first provides a kind of image quality measure method of video sequence, and the idiographic flow sketch map of this method is as shown in Figure 1, may further comprise the steps:
To above-mentioned steps 11; In embodiments of the present invention, need the implication of " severity " be made an explanation, it is meant carries out discrete cosine transform (DCT to image; Discrete Cosine Transform) conversion; And after the fixed quantisation table that adopts the unified quantization step-length carried out quantization encoding to image, to transmitting an average number of bits that pixel is required of the image behind this quantization encoding, the concrete numerical value of this severity was the content complexity that severity numerical value can reflect image; If the content change of adjacent two two field pictures is little; Then the pairing severity numerical value of this two two field picture is generally also more approaching, otherwise then possibly just there is bigger difference in the pairing severity numerical value of this two two field picture.
In embodiments of the present invention; The intra-coded macroblock number is the number of the intra-coded macroblock of each two field picture; The intra-coded macroblock number is used to characterize the intensity of variation of video image content; If a certain two field picture is very big with respect to the intensity of variation of the former frame picture material of self, changed to the scenery 2 that differs greatly with scenery 1 such as picture material by scenery 1, the intra-coded macroblock number that the intra-coded macroblock number that then this a certain two field picture had can be had with the former frame image of self differs greatly; Otherwise; The intra-coded macroblock number difference that the intra-coded macroblock number that then this a certain two field picture had can be had with the former frame image of self is less, but need to prove, to a sequence of video images; If the first two field picture sequence number of this sequence is 0; Even then the 0th two field picture is little with the things intensity of variation in adjacent the 1st two field picture with it, the difference of the 0th two field picture and the pairing intra-coded macroblock number of the 1st two field picture is often also bigger, so when carrying out image quality measure, need consider this point.
In this method that the embodiment of the invention provides, the intra-coded macroblock number that can earlier first frame video image in the video sequence to be assessed be comprised is confirmed as the intra-coded macroblock number difference of the former frame image of first frame video image and the first frame video; And the quality that is directed against each frame video image except that first frame video image is assessed specifically and can until accomplishing the quality of each frame video image in the video sequence to be assessed be assessed for carrying out following step to any frame video image in the video sequence:
At first, confirm the intra-coded macroblock number difference of the former frame video image of this frame video image and this frame video image, and confirm the severity numerical value difference of this frame video image and said former frame video image;
Then; Whether relation and this frame video image according to the relation of intra-coded macroblock number difference and preset macroblock number threshold value, severity numerical value difference and preset severity threshold value are first frame video image; Quality to this two field picture is assessed, such as, when intra-coded macroblock number difference is not more than the macroblock number threshold value; Or severity numerical value difference is when being not more than the severity threshold value, and the quality of confirming this two field picture is for well; When intra-coded macroblock number difference greater than said macroblock number threshold value, and severity numerical value difference is during greater than the severity threshold value, when this two field picture was first two field picture, the quality of confirming this two field picture was for well, otherwise the quality of judging this two field picture is for poor.
In embodiments of the present invention; The intra-coded macroblock number of confirming each frame video image in the video sequence to be assessed respectively specifically can but be not limited to: any frame video image in the video sequence is carried out following step, until accomplishing confirming to the intra-coded macroblock number of each frame video image:
At first, to any frame video image in the video sequence, confirm the macro block in this frame video image;
Then, in the macro block from this frame video image of confirming, choose the macro block that macro block (mb) type is the intra-coded macroblock type;
At last, the number of the macro block chosen is added up, thereby confirmed the intra-coded macroblock number of this any frame video image.
And confirm each frame video image severity numerical value can but be not limited to: any frame video image in the video sequence is carried out following step, until accomplishing confirming to the severity numerical value of each frame video image:
At first, confirm to be positioned in the transmission of video sequence this frame video image first required bit number of other video images before, and confirm this frame video image of transmission and the second required bit number of above-mentioned other video images;
Then, confirm the difference of second bit number and first bit number;
The ratio of the number of pixels that at last, above-mentioned definite difference and this any frame video image is comprised is confirmed as the severity numerical value of this any frame video image.
Below the appraisal procedure of this video image quality of providing with the embodiment of the invention in reality, be applied as example, this scheme that the embodiment of the invention is provided is elaborated.
In this practical embodiments; Respectively two sequence of video images to be assessed are carried out the assessment of picture quality; These two sequence of video images to be assessed respectively comprise 150 two field pictures, and the rate respectively of each image is 720*576, and the title of sequence to be assessed is respectively auto.yuv and branch.yuv; Wherein, the content characteristic corresponding relation of the image that comprises of the title of these two sequences and sequence is as shown in table 1 below.
Table 1:
| The sequence title | The content characteristic of image |
| auto.yuv | It is more violent to move |
| branch.yuv | Image is complicated, and details is a lot |
Below specify the detailed process that adopts the embodiment of the invention respectively the picture quality of above sequence auto.yuv, branch.yuv to be assessed with embodiment 1,2.
Embodiment 1:
In the auto.yuv sequence; Exist between its 125th two field picture and 126 two field pictures and jump (the jump here refers to that promptly the content of adjacent two two field pictures differs greatly), and, from the 127th two field picture; Begin to repeat to occur the video image that occurs since the 1st two field picture; Promptly the 127th two field picture is identical with the 1st two field picture, and the 128th two field picture is identical with the 1st two field picture, by that analogy.
In the embodiment of the invention 1, the idiographic flow sketch map that the appraisal procedure that adopts the video image quality that the embodiment of the invention provides is carried out image quality measure to the image in the auto.yuv sequence mainly may further comprise the steps shown in Fig. 2 a:
Need to prove, in above-mentioned steps 24, when needs when more accurate way is assessed picture quality, in the embodiment of the invention 1 can also but be not limited to adopt as shown in the formula the mode shown in (1), the picture quality of each two field picture is assessed:
z＝ax+by+c (1)
Wherein, Z is a picture quality, and the big more explanation picture quality of z value is good more, and x is the pairing intra-coded macroblock number of image to be assessed; Y is the pairing severity numerical value of image to be assessed; A, b, c are preset constant, and especially, a, b can be for being directed against the weighted value that intra-coded macroblock number and severity numerical value are provided with respectively.
Embodiment 2:
In the branch.yuv sequence; The picture that each two field picture constituted in this sequence is actual in progressively to have shifted the close shot picture in the 150th two field picture onto by the panorama in the 1st two field picture; Promptly the 150th two field picture is the close shot feature of a little picture in the 1st two field picture in fact; The characteristics of branch.yuv sequence are that difference is less between the image of consecutive frame.
In the embodiment of the invention 2, the idiographic flow sketch map that the appraisal procedure that adopts the video image quality that the embodiment of the invention provides is carried out image quality measure to the image in the branch.yuv sequence mainly may further comprise the steps shown in Fig. 3 a:
Step 31; To each two field picture in the branch.yuv sequence; Confirm the intra-coded macroblock number in each two field picture respectively, in the embodiment of the invention 2, each two field picture in the branch.yuv sequence that counts and the corresponding relation of intra-coded macroblock number are shown in Fig. 3 b; In Fig. 3 b; Abscissa is the sequence number of each two field picture in sequence of branch.yuv sequence, and ordinate is the intra-coded macroblock number corresponding with the different frame image for counting then, from Fig. 3 b, can find out; Except the intra-coded macroblock number of the 1st two field picture is 1620; The intra-coded macroblock of other two field pictures is 0, and can know according to the characteristics of image that the intra-coded macroblock number is reflected, if a certain two field picture is very little with respect to the things intensity of variation in the former frame image of self; The number of the intra-coded macroblock number that then this a certain two field picture had will be seldom; Therefore, the image that curve reflected among Fig. 3 b and the corresponding relation of intra-coded macroblock number can match with the picture material variation pattern of branch.yuv sequence, are very effective and rational thereby adopt the intra-coded macroblock number of image as the parameter value of the quality of image being assessed time institute's reference;
Step 32, to each two field picture in the branch.yuv sequence, required bit number when confirming each two field picture of transmission respectively;
Step 33 is distinguished the required bit number and the number of pixels of image according to each two field picture in the transmission branch.yuv sequence of determining, and confirms bit number that pixel is required of transmission; Here required bit number of pixel of transmission of confirming is severity numerical value; Particularly, in the branch.yuv sequence in the embodiment of the invention 2 corresponding relation of each two field picture and the severity numerical value of confirming shown in Fig. 3 c, in Fig. 3 c; Abscissa is the sequence number of each two field picture in sequence of branch.yuv sequence; Ordinate is the severity numerical value corresponding to the different frame image for confirming then, observes Fig. 3 c and can know that curve is in rising trend; Thing movement in this key diagram picture is accelerated gradually; The pick-up lens that promptly obtains the branch.yuv sequence is when taking scenery, and camera lens pushes away the process of close shot thing to be accelerated gradually, can also find out from this point; The image that curve reflected among Fig. 3 c and the corresponding relation of severity numerical value can match with the picture material variation pattern of actual sequence, are very effective and rational thereby adopt the severity numerical value of image equally as the parameter value of the quality of image being assessed time institute's reference;
Step 34; With the intra-coded macroblock number of each two field picture correspondence and the severity numerical value of corresponding different frame image in the branch.yuv sequence of determining,, picture quality is assessed as each two field picture in the branch.yuv sequence is carried out the required parameter value of quality evaluation; Particularly; In the embodiment of the invention 1, can adopt analysis, come each two field picture in the branch.yuv sequence is assessed Fig. 3 b and Fig. 3 c; The assessment mode that image quality measure mode that in the embodiment of the invention 2, adopts and step 24 provide is similar, therefore repeats no more.
Need to prove; In the embodiment of the invention 1,2; Can adopt intra-coded macroblock number or severity numerical value as video image quality is assessed used parameter separately; But with respect to only adopting an above-mentioned parameter to carry out the mode of image quality measure, used parameter can access higher assessment precision when adopting the conduct of intra-coded macroblock number and severity numerical value that video image quality is assessed simultaneously, and assessment result is more reliable.
Correspondingly, the embodiment of the invention also provides a kind of image quality measure device of video sequence, and the concrete structure sketch map of this device is as shown in Figure 4, comprises following functional unit:
First confirms unit 41, is used for confirming respectively the intra-coded macroblock number of each frame video image of video sequence to be assessed;
Second confirms unit 42, is used for confirming respectively the severity numerical value of each frame video image of video sequence to be assessed;
Preferably, corresponding to a kind of implementation of above-mentioned assessment unit 43 functions, in the embodiment of the invention, can assessment unit 43 be divided into following functional module:
Determination module; Be used for the intra-coded macroblock number that first frame video image is comprised is confirmed as the intra-coded macroblock number difference of the former frame image of first frame video image and the first frame video; And to any frame video image except that said first frame video image in this video sequence to be assessed; Carry out the intra-coded macroblock number difference of the former frame video image of confirming this frame video image and this frame video image, and confirm the severity numerical value difference of this frame video image and above-mentioned former frame video image;
Evaluation module; Whether the relation and this frame video image that are used for relation, severity numerical value difference and preset severity threshold value according to intra-coded macroblock number difference and preset macroblock number threshold value are first frame video image, and the quality of this two field picture is assessed.
And, in the embodiment of the invention, can also evaluation module further be divided into following function sub-modules to a kind of implementation of above-mentioned evaluation module function, comprising:
First confirms submodule, be used for being not more than the macroblock number threshold value when intra-coded macroblock number difference, or severity numerical value difference is when being not more than the severity threshold value, and the quality of confirming this two field picture is for well;
Second confirms submodule; Be used for when intra-coded macroblock number difference greater than macroblock number threshold value and severity numerical value difference during greater than the severity threshold value, when this two field picture was first two field picture, the quality of confirming this two field picture was for well; Otherwise the quality of judging this two field picture is for poor.
Preferably, in the embodiment of the invention,, can confirm that unit 41 be divided into following functional module with first corresponding to a kind of implementation of first definite unit, 41 functions:
The macro block determination module is used for any frame video image to video sequence to be assessed, confirms the macro block in this frame video image;
Choose module, be used for from the macro block of this definite frame video image of macro block determination module, choosing the macro block that macro block (mb) type is the intra-coded macroblock type;
The number statistical module is used to add up the number of choosing the macro block that module chooses.
Preferably, in the embodiment of the invention,, can confirm that unit 42 be divided into following functional module with second corresponding to a kind of implementation of second definite unit, 42 functions:
The bit number determination module; Be used for any frame video image to video sequence to be assessed; Carry out and confirm to be positioned at this frame video image first required bit number of other video images before in this video sequence of transmission, and confirm this frame video image of transmission and the second required bit number of above-mentioned other video images;
The difference determination module is used for the second definite bit number of definite bit number determination module and the difference of first bit number;
The ratio of the number of pixels that severity numerical value determination module, the difference that is used for the difference determination module is confirmed and this any frame video image are comprised is confirmed as the severity numerical value of this any frame video image.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technologies thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.
Claims (6)
1. the image quality measure method of a video sequence is characterized in that, comprising:
Confirm the intra-coded macroblock number of each frame video image in the video sequence to be assessed respectively, and confirm the severity numerical value of said each frame video image respectively;
Utilize said intra-coded macroblock number and said severity numerical value, the quality of said each frame video image is assessed;
Wherein, the severity numerical value of definite said each frame video image specifically comprises respectively:
Any frame video image in the said video sequence is carried out following step:
Confirm to be positioned at this frame video image first required bit number of other video images before in the said video sequence of transmission, and confirm this frame video image of transmission and the second required bit number of said other video images;
Confirm the difference of said second bit number and first bit number;
The ratio of the number of pixels that said difference and this frame video image are comprised is confirmed as the severity numerical value of this frame video image;
Utilize said intra-coded macroblock number and said severity numerical value, the quality of said each frame video image is assessed specifically comprised:
The intra-coded macroblock number that first frame video image is comprised is confirmed as the intra-coded macroblock number difference of the former frame image of said first frame video image and the said first frame video;
Any frame video image except that first frame video image in the said video sequence is carried out following step, until accomplishing the quality of said each frame video image is assessed:
Confirm the intra-coded macroblock number difference of the former frame video image of this frame video image and this frame video image, and confirm the severity numerical value difference of this frame video image and said former frame video image;
Whether is first frame video image with the relation of the macroblock number threshold value of presetting, said severity numerical value difference with relation and this frame video image of the severity threshold value of presetting according to said intra-coded macroblock number difference, and the quality of this two field picture is assessed.
2. the method for claim 1; It is characterized in that; Whether relation and this frame video image according to relation, severity numerical value difference and the severity threshold value of intra-coded macroblock number difference and macroblock number threshold value are first frame video image, the quality of this two field picture are assessed specifically comprise:
When said intra-coded macroblock number difference is not more than said macroblock number threshold value, or said severity numerical value difference is when being not more than said severity threshold value, and the quality of confirming this two field picture is for well;
When said intra-coded macroblock number difference greater than said macroblock number threshold value; And said severity numerical value difference is during greater than said severity threshold value, and when this two field picture was first two field picture, the quality of confirming this two field picture was for well; Otherwise the quality of judging this two field picture is for poor.
3. the method for claim 1 is characterized in that, confirms that respectively the intra-coded macroblock number of each frame video image in the video sequence to be assessed specifically comprises:
Any frame video image in the said video sequence is carried out following step:
Confirm the macro block in this frame video image;
In the macro block from this frame video image of confirming, choose the macro block that macro block (mb) type is the intra-coded macroblock type;
The number of the macro block that statistics is chosen is as the intra-coded macroblock number of this frame video image.
4. the image quality measure device of a video sequence is characterized in that, comprising:
First confirms the unit, is used for confirming respectively the intra-coded macroblock number of each frame video image of video sequence to be assessed;
Second confirms the unit, is used for confirming respectively the severity numerical value of said each frame video image;
Assessment unit is used to utilize first to confirm the definite said severity numerical value of said intra-coded macroblock number and second definite unit that the unit is confirmed, the quality of said each frame video image is assessed;
Wherein, said second confirms that the unit specifically comprises:
The bit number determination module; Be used for any frame video image to said video sequence; Carry out and confirm to be positioned at this frame video image first required bit number of other video images before in the said video sequence of transmission, and confirm this frame video image of transmission and the second required bit number of said other video images;
The difference determination module is used for the second definite bit number of definite bit number determination module and the difference of first bit number;
Severity numerical value determination module, the ratio of the number of pixels that the difference that is used for the difference determination module is confirmed and this frame video image are comprised is confirmed as the severity numerical value of this frame video image;
Said assessment unit specifically comprises:
Determination module; Be used for the intra-coded macroblock number that first frame video image is comprised is confirmed as the intra-coded macroblock number difference of the former frame image of said first frame video image and the said first frame video; And to any frame video image except that said first frame video image in the said video sequence; Carry out the intra-coded macroblock number difference of the former frame video image of confirming this frame video image and this frame video image, and confirm the severity numerical value difference of this frame video image and said former frame video image;
Evaluation module; Whether with the relation of the macroblock number threshold value preset, said severity numerical value difference with relation and this frame video image of the severity threshold value preset be first frame video image, the quality of this two field picture is assessed according to said intra-coded macroblock number difference if being used for.
5. device as claimed in claim 4 is characterized in that, said evaluation module specifically comprises:
First confirms submodule, be used for being not more than said macroblock number threshold value when said intra-coded macroblock number difference, or said severity numerical value difference is when being not more than said severity threshold value, and the quality of confirming this two field picture is for well;
Second confirms submodule; Be used for when said intra-coded macroblock number difference greater than said macroblock number threshold value and said severity numerical value difference during greater than said severity threshold value; When this two field picture is first two field picture; The quality of confirming this two field picture is for well, otherwise the quality of judging this two field picture is for poor.
6. device as claimed in claim 4 is characterized in that, said first confirms that the unit specifically comprises:
The macro block determination module is used for any frame video image to said video sequence, confirms the macro block in this frame video image;
Choose module, be used for from the macro block of this definite frame video image of macro block determination module, choosing the macro block that macro block (mb) type is the intra-coded macroblock type;
The number statistical module is used to add up the number of choosing the macro block that module the chooses intra-coded macroblock number as this frame video image.
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| CN108668049B (en) * | 2017-03-27 | 2024-05-10 | 深圳市景华显示科技有限公司 | Image display method, display unit and system based on scattered pixels |
| CN115225961B (en) * | 2022-04-22 | 2024-01-16 | 上海赛连信息科技有限公司 | No-reference network video quality evaluation method and device |
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| CN101163250A (en) * | 2006-10-09 | 2008-04-16 | 北京航空航天大学 | Boundary gradient based video stream fault tolerance method |
| EP1973349A2 (en) * | 2007-03-12 | 2008-09-24 | ViXS Systems Inc. | Video processing system and device with encoding and decoding modes and method for use therewith |
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