CN108009035B - MP4 file damage detection method and device - Google Patents
MP4 file damage detection method and device Download PDFInfo
- Publication number
- CN108009035B CN108009035B CN201610926517.2A CN201610926517A CN108009035B CN 108009035 B CN108009035 B CN 108009035B CN 201610926517 A CN201610926517 A CN 201610926517A CN 108009035 B CN108009035 B CN 108009035B
- Authority
- CN
- China
- Prior art keywords
- file
- byte
- comparison
- module
- byte data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0751—Error or fault detection not based on redundancy
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Techniques For Improving Reliability Of Storages (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention provides a method and a device for detecting MP4 file damage, which relate to the technical field of detection, wherein the invention provides a method and a system for detecting the MP4 file damage based on scanning the binary byte data of an MP4 file.
Description
Technical Field
The invention relates to the technical field of detection, in particular to a method and a device for detecting MP4 file damage.
Background
MP4 files may be damaged during recording, editing, and transmission. The problems of mosaic, pause, still frame, asynchronous sound and picture and the like can occur when the damaged MP4 file is played, and the watching experience is directly influenced.
The commonly used MP4 file detection method today is to decapsulate and decode the MP4 file, and if the damage occurs in the encapsulation layer, an error will be reported when the decapsulation occurs; if the decoding occurs in the coding layer, an error is reported when decoding, but the decapsulation and decoding detection method has the disadvantages of long detection time and excessive consumption of hardware resources.
Disclosure of Invention
Aiming at the problems that the MP4 file is detected through decapsulation and decoding, the time consumption is too long, and the hardware resource consumption is too large, the invention provides a file detection method.
The technical scheme provided by the invention is as follows:
an MP4 file damage detection method comprises the following steps:
s1: reading binary byte data in the MP4 file to be tested;
s2: dividing the binary byte data in the S1 by the length of a preset contrast byte to obtain a binary byte data fragment;
s3: comparing the contents of the binary byte data fragments with preset comparison bytes one by one;
if the two are the same, the comparison is stopped, and the file is damaged.
Further, the content of the preset contrast byte is 0.
Further, reading the binary byte data in the MP4 file to be tested in S1 includes:
reading binary byte data in the MP4 file to be tested with a preset byte length.
Further, the preset byte length is an integer multiple of the preset contrast byte length.
Further, S3 further includes:
when the content comparisons are the same, the percentage of file corruption locations is calculated and recorded.
Further, the formula for calculating the percentage of damaged locations of the file is as follows:
where pt is the percentage of file corruption locations, dL is the preset compared byte length, rN is the number of compared binary byte data fragments, and sL is the total length of binary byte data of the MP4 file.
Further, when the S3 determines that the MP4 file is damaged, the MP4 file damage detecting method further includes:
s4: reading the video time length of the MP4 file;
s5: calculating a file damage time point;
s6: decoding the MP4 file from a file corruption time point;
s7: judging whether the decoding is successful;
if the failure occurs; it indicates that the MP4 file is corrupt.
Further, the formula for calculating the file damage time point described in S5 is as follows:
p＝pt*sT
wherein p is the file corruption time point, pt is the file corruption location percentage, and sT is the MP4 file video duration.
An apparatus for detecting damage to an MP4 file, comprising:
the device comprises a byte reading module, a byte segmentation module and a byte comparison module;
the byte reading module is used for reading binary byte data in the MP4 file;
the byte segmentation module is connected with the byte reading module and segments binary byte data in the read MP4 file by the length of preset comparison bytes;
the byte comparison module is connected with the byte segmentation module and used for comparing the binary byte data fragments obtained by segmentation with preset comparison bytes one by one and judging that the file is damaged when the binary byte data fragments are the same as the preset comparison bytes.
Further, the byte comparison module comprises: a comparison unit, a calculation unit and a storage unit;
the comparing unit is connected with the byte segmentation module and used for comparing the binary byte data fragments obtained by segmentation with preset comparison bytes one by one and judging that the file is damaged when the binary byte data fragments are the same as the preset comparison bytes;
the calculation unit is connected with the comparison unit, and the calculation unit calculates the file damage position percentage when the comparison results are the same on the basis of the comparison results of the comparison unit;
the storage unit is connected with the calculation unit and is used for storing the file damage position percentage calculated by the calculation unit.
Further, still include: the time length reading module and the decoding processing module;
the duration reading module is used for reading the video duration of the MP4 file;
the decoding processing module is respectively connected with the byte comparison module and the duration reading module, and is used for decoding the MP4 file.
Further, the decoding processing module includes: a damage time point calculation unit and a decoding unit;
the damage time point calculating unit is respectively connected with the byte comparison module and the duration reading module, and is used for calculating the time point of a file damage position;
the decoding unit is connected with the damage time point calculating unit, and the decoding unit decodes the MP4 file based on the file damage position time point calculated by the damage time point calculating unit.
The MP4 file damage detection method and device provided by the invention can bring the following beneficial effects:
in the invention, binary byte data in the MP4 file are fragmented, and the data fragments are compared with the preset comparison bytes one by one, so as to identify whether the MP4 file is damaged or not according to the comparison result, thereby obtaining the technical effect of identifying whether the MP4 file is damaged or not without the processes of decapsulation and decoding, and effectively improving the detection efficiency.
In the invention, the percentage of the position when the file damage is detected to the whole file is taken as the percentage of the damaged position of the file, and the video time of the damaged position of the file can be obtained according to the percentage.
In the invention, MP4 file decoding detection is carried out from the video time of the file damage position, and MP4 file is detected again, thus increasing the detection accuracy, and simultaneously reducing the whole time consumption of decoding detection because the decoding detection is carried out from the file damage position.
Drawings
The foregoing features, technical features, advantages and embodiments are further described in the following detailed description of the preferred embodiments, which is to be read in connection with the accompanying drawings.
FIG. 1 is a flowchart of a method for detecting file corruption in an MP4 file according to the present invention;
FIG. 2 is a diagram of an embodiment of a method for detecting a corruption in an MP4 file;
FIG. 3 is a diagram of another embodiment of the method for detecting the corruption of an MP4 file according to the invention;
FIG. 4 is a block diagram of an apparatus for detecting MP4 file corruption according to the present invention;
FIG. 5 is a diagram of an embodiment of an apparatus for detecting file corruption in an MP4 file according to the invention;
FIG. 6 is a diagram of another embodiment of the MP4 file corruption detection apparatus according to the invention.
The reference numbers illustrate:
the device comprises a 100-byte reading module, a 200-byte segmentation module, a 300-byte comparison module, a 301-comparison unit, a 302-calculation unit, a 303-storage unit, a 400-duration reading module, a 500-decoding processing module, a 501-damage time point calculation unit and a 502-decoding unit.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
As shown in fig. 1, in the method for detecting a defect in an MP4 file provided by the present invention, the content of an MP4 file is generally composed of binary bytes, and the binary byte data of a defective MP4 file has a large area of the same byte, so we use this as a detection standard to quickly detect whether an MP4 file is defective. Before detection, a preset comparison byte is set, wherein the byte has a certain length dL; and a certain binary byte. At the beginning of the detection, we read all the binary byte data of the MP4 file, where the length of the binary byte data is sL. The dL/sL pieces of binary byte data can be obtained by truncating the binary byte data of the MP4 file by a preset comparison byte length dL. After the fragments are acquired, the fragments are compared with preset comparison bytes one by one, and if all the bytes are the same, the large-area same bytes exist in the MP4 file, so that the damage of the MP4 file is indicated.
MP4 file corruption is generally the occurrence of large area of zero bytes in binary byte data, so the content of the reserved contrast bytes is zero, and when a condition is detected in which the binary byte data fragments are all zero bytes, it is indicated that there is corruption in the MP4 file.
The preset contrast byte length cannot be too short because the MP4 file is not corrupted; there may be a small number of consecutive identical bytes of binary byte data; for example: zero bytes, if the preset comparison byte is too short, there will be misjudgment of MP4 file damage, and we adopt dL being greater than or equal to 512 bytes as the length of the preset comparison byte.
The MP4 file is usually large and cannot read all its binary byte data at one time, so we first segment the MP4 file, i.e. compare the read binary byte data of one segment, the read binary byte data of each segment may not be shorter than the preset contrast byte length, and we use the multiple of the preset contrast byte length as each segment length, specifically, the length may be greater than or equal to 1024 times 1024 bytes.
Fig. 2 shows a method for detecting the corruption of an MP4 file provided by the present method. As can be seen from the figure, after the file damage is judged, the calculation and the recording of the damage position are added; the specific process is as follows:
s1: reading binary byte data in the MP4 file to be tested;
s2: dividing the binary byte data in the S1 by the length of a preset contrast byte to obtain a binary byte data fragment;
s301: comparing the contents of the binary byte data fragments with preset comparison bytes one by one;
if the file damage positions are the same, stopping comparison, indicating that the file is damaged, and calculating and recording the percentage of the damaged positions of the file.
If we divide the binary byte data in the MP4 file by the predetermined comparison byte length, N binary byte data fragments can be obtained, and when the file is judged to be damaged, the number rN of the compared binary byte data fragments, i.e. the starting number of the damaged binary byte data fragments, can be obtained. Then rN dL can obtain the starting length of the damaged binary byte data, and this length is divided by the total length of the binary byte data of the MP4 file, so as to obtain the percentage of the damaged position in the total length, i.e. the percentage of the damaged position of the file; the specific formula is as follows:
where pt is the percentage of file corruption locations, dL is the length of the compared bytes, rN is the number of compared binary byte data fragments, and sL is the total length of binary byte data of the MP4 file.
For example: the MP4 file binary byte data length is 4096 bytes; namely sL is 4096, the preset byte length of the contrast is 512 bytes; i.e., dL 512. Dividing the binary byte data by a preset contrast byte length to obtain 8 binary byte data fragments; i.e., N-8. After the detection is started, finding that the 4 th binary byte data segment is the same as the preset comparison byte; that is, the MP4 file is damaged, where rN is 4, and pt is 0.5 as calculated by the above formula; i.e. the percentage of file defect locations is 0.5.
Fig. 3 shows a method for detecting the corruption of an MP4 file according to the present invention.
As can be seen from fig. 3, we add a process of decoding detection to the MP4 file after the method provided in fig. 2; the specific process is as follows:
s1: reading binary byte data in the MP4 file to be tested;
s2: dividing the binary byte data in the S1 by the length of a preset contrast byte to obtain a binary byte data fragment;
s301: comparing the contents of the binary byte data fragments with preset comparison bytes one by one;
if the file is the same as the file, stopping comparison, indicating that the file is damaged, and calculating and recording the percentage of damaged positions of the file;
s4: reading the video time length of the MP4 file;
s5: calculating a file damage time point;
s6: decoding the MP4 file from a file corruption time point;
s7: judging whether the decoding is successful;
if the failure occurs; indicating MP4 file corruption;
the process can verify the result of judging the MP4 file damage by using the method shown in FIG. 2, and improve the accuracy of MP4 file damage detection. Since the overall decoding of the MP4 file takes a long time, the damaged position of the file may be at the later position of the overall MP4 file, and since we have already calculated and stored the percentage of the damaged position of the file, and the decoding check before the damaged position is useless, we do not use the overall decoding to check the MP4 file with the damaged portion, but use the decoding check from the damaged position to improve the checking efficiency.
When decoding and checking, firstly obtaining the video time sT. And then decoding the MP4 file from the file damage time point, and judging whether the file can be correctly decoded, if the file can not be correctly decoded, indicating that the file is damaged. The file damage time point can be obtained by calculating the percentage of the file damage positions, and the specific formula is as follows:
p＝pt*sT
wherein p is the file corruption time point, pt is the file corruption location percentage, and sT is the MP4 file video duration.
For example: the time length of reading the MP4 file is 60 s; that is, sT is 60, and the percentage of file damage locations is 0.5; that is, pt is 0.5, and the file damage time point calculated by the above formula is 30 s. At this time, the MP4 file is decoded and detected from the position with the video time length of 30s, so that the decoding time consumption can be effectively reduced.
Based on the file damage time point, the detection starting time is adjusted forwards by 10s to 20s, so that the whole detection process is more accurate.
Fig. 4 shows an apparatus for detecting file corruption of MP4 provided by the present invention, which includes a byte reading module 100; a byte segmentation module 200 and a byte comparison module 300;
the binary byte data in the MP4 file is read by the byte reading module 100, the byte segmentation module 200 segments the read binary byte data into a plurality of binary byte data segments according to the length of the preset comparison bytes, the byte comparison module 300 compares the binary byte data segments with the preset comparison bytes one by one, and when the two binary byte data segments are the same, the information that the MP4 file is damaged is fed back.
Fig. 5 shows an apparatus for detecting file corruption of MP4 according to the present invention, wherein the byte comparison module 300 comprises a comparison unit 301, a calculation unit 302, and a storage unit 303.
The comparing unit 301 compares the binary byte data segments obtained after the segmentation with the preset comparison bytes one by one, and when the binary byte data segments are found to be the same as the preset comparison bytes, it indicates that the MP4 file is damaged, and at this time, the calculating unit 302 starts to calculate the percentage of damaged positions of the MP4 file; the following formula is adopted:
where pt is the percentage of file corruption locations, dL is the length of the compared bytes, rN is the number of compared binary byte data fragments, and sL is the total length of binary byte data of the MP4 file.
For example: the byte reading module 100 reads the MP4 file, and the binary byte data length is 4096 bytes; namely sL is 4096, the preset byte length of the contrast is 512 bytes; i.e., dL 512. The byte segmentation module 200 segments the binary byte data by a preset comparison byte length to obtain 8 binary byte data segments; i.e., N-8. After the detection is started, the byte comparison module 300 finds that the 4 th binary byte data segment is the same as the preset comparison byte; that is, the MP4 file is damaged, where rN is 4, and pt is 0.5 as calculated by the above formula; i.e. the percentage of file defect locations is 0.5.
The storage unit 303 saves the calculation result pt.
Fig. 6 shows an apparatus for detecting the corruption of an MP4 file according to the present invention. The time length reading module 400 and the decoding processing module 500 are added on the basis of fig. 5; wherein the decoding processing module 500 comprises a damage time point calculation unit 501 and a decoding unit 502.
When the byte comparison module 300 determines that the MP4 file is damaged, the duration reading module 400 reads the video duration of the MP4 file, and then the decoding processing module 500 decodes and determines the MP4 file, if the MP4 file is not decoded, the video duration of the MP4 file is read. The damage time point calculation unit 501 in the decoding processing module 500 will preferentially calculate the time point of the damage location of the MP4 file, and the formula is as follows:
p＝pt*sT
wherein p is the file corruption time point, pt is the file corruption location percentage, and sT is the MP4 file video duration.
For example: the duration of the MP4 file read by the duration reading module 400 is 60 s; that is, sT is 60, and the percentage of file damage locations is 0.5; that is, pt is 0.5, and the file damage time point calculated by the above formula is 30 s. At this time, the decoding unit 502 performs decoding detection on the MP4 file from the position where the video duration is 30 s. This procedure can effectively reduce the decoding time.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (11)
1. A method for detecting MP4 file damage is characterized by comprising the following steps:
s1: reading binary byte data in the MP4 file to be tested;
s2: dividing the binary byte data in the S1 by the length of a preset contrast byte to obtain a binary byte data fragment;
s3: comparing the contents of the binary byte data fragments with preset comparison bytes one by one;
if the file is the same as the file, stopping comparison and indicating that the file is damaged;
the content of the preset contrast byte is 0.
2. The MP4 file corruption detection method of claim 1, wherein reading binary byte data in the MP4 file under test in S1 includes:
reading binary byte data in the MP4 file to be tested with a preset byte length.
3. The MP4 file corruption detection method of claim 2, wherein the predetermined byte length is an integer multiple of a predetermined comparison byte length.
4. The MP4 file corruption detection method of claim 1 or 2, wherein S3 further comprises:
when the content comparisons are the same, the percentage of file corruption locations is calculated and recorded.
5. The MP4 file corruption detection method of claim 4, wherein the formula for calculating the percentage of file corruption locations is as follows:
where pt is the percentage of file corruption locations, dL is the preset compared byte length, rN is the number of compared binary byte data fragments, and sL is the total length of binary byte data of the MP4 file.
6. The MP4 file corruption detection method of claim 4, wherein the MP4 file corruption detection method further comprises, when S3 determines that an MP4 file is corrupt:
s4: reading the video time length of the MP4 file;
s5: calculating a file damage time point;
s6: decoding the MP4 file from a file corruption time point;
s7: judging whether the decoding is successful;
if the failure occurs; it indicates that the MP4 file is corrupt.
7. The MP4 file corruption detection method of claim 6, wherein the formula for calculating the file corruption time point in S5 is as follows:
p＝pt*sT
wherein p is the file corruption time point, pt is the file corruption location percentage, and sT is the MP4 file video duration.
8. An apparatus for detecting damage to an MP4 file, comprising: the device comprises a byte reading module, a byte segmentation module and a byte comparison module;
the byte reading module is used for reading binary byte data in the MP4 file;
the byte segmentation module is connected with the byte reading module and segments binary byte data in the read MP4 file by the length of preset comparison bytes;
the byte comparison module is connected with the byte segmentation module and is used for comparing the binary byte data fragments obtained by segmentation with preset comparison bytes one by one and judging that the file is damaged when the binary byte data fragments are the same;
the content of the preset contrast byte is 0.
9. The MP4 file corruption detection apparatus of claim 8, wherein the byte comparison module includes: a comparison unit, a calculation unit and a storage unit;
the comparing unit is connected with the byte segmentation module and used for comparing the binary byte data fragments obtained by segmentation with preset comparison bytes one by one and judging that the file is damaged when the binary byte data fragments are the same as the preset comparison bytes;
the calculation unit is connected with the comparison unit, and the calculation unit calculates the file damage position percentage when the comparison results are the same on the basis of the comparison results of the comparison unit;
the storage unit is connected with the calculation unit and is used for storing the file damage position percentage calculated by the calculation unit.
10. The MP4 file corruption detection apparatus of claim 8 or 9, further comprising: the time length reading module and the decoding processing module;
the duration reading module is used for reading the video duration of the MP4 file;
the decoding processing module is respectively connected with the byte comparison module and the duration reading module, and is used for decoding the MP4 file.
11. The MP4 file corruption detection apparatus of claim 10, wherein the decode processing module includes: a damage time point calculation unit and a decoding unit;
the damage time point calculating unit is respectively connected with the byte comparison module and the duration reading module, and is used for calculating the time point of a file damage position;
the decoding unit is connected with the damage time point calculating unit, and the decoding unit decodes the MP4 file based on the file damage position time point calculated by the damage time point calculating unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610926517.2A CN108009035B (en) | 2016-10-31 | 2016-10-31 | MP4 file damage detection method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610926517.2A CN108009035B (en) | 2016-10-31 | 2016-10-31 | MP4 file damage detection method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108009035A CN108009035A (en) | 2018-05-08 |
| CN108009035B true CN108009035B (en) | 2021-02-23 |
Family
ID=62047800
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610926517.2A Active CN108009035B (en) | 2016-10-31 | 2016-10-31 | MP4 file damage detection method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108009035B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060020466A (en) * | 2004-08-31 | 2006-03-06 | 엘지전자 주식회사 | Operating program automatic restoration method for mobile communication device |
| CN101425136A (en) * | 2008-10-24 | 2009-05-06 | 北京工业大学 | Method and device for acquiring partial binary mode characteristic of video image |
| CN101478684A (en) * | 2008-12-31 | 2009-07-08 | 杭州华三通信技术有限公司 | Method and system for detecting integrity of stored video data |
| CN103886883A (en) * | 2014-03-20 | 2014-06-25 | 公安部物证鉴定中心 | Method and system for recovering lossy video monitoring data |
| CN104486614A (en) * | 2014-12-10 | 2015-04-01 | 央视国际网络无锡有限公司 | MP4 (Mobile Pentium 4) video format corruption detection method |
-
2016
- 2016-10-31 CN CN201610926517.2A patent/CN108009035B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060020466A (en) * | 2004-08-31 | 2006-03-06 | 엘지전자 주식회사 | Operating program automatic restoration method for mobile communication device |
| CN101425136A (en) * | 2008-10-24 | 2009-05-06 | 北京工业大学 | Method and device for acquiring partial binary mode characteristic of video image |
| CN101478684A (en) * | 2008-12-31 | 2009-07-08 | 杭州华三通信技术有限公司 | Method and system for detecting integrity of stored video data |
| CN103886883A (en) * | 2014-03-20 | 2014-06-25 | 公安部物证鉴定中心 | Method and system for recovering lossy video monitoring data |
| CN104486614A (en) * | 2014-12-10 | 2015-04-01 | 央视国际网络无锡有限公司 | MP4 (Mobile Pentium 4) video format corruption detection method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108009035A (en) | 2018-05-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7171594B2 (en) | Pausing a transfer of data | |
| US6968479B2 (en) | Verifying data in a data storage device | |
| US8082472B2 (en) | System and method for testing graphics card | |
| US20110205653A1 (en) | Systems and Methods for Data Recovery | |
| JP2022043225A5 (en) | ||
| CN102135925B (en) | Method and device for detecting error check and correcting memory | |
| US20150006999A1 (en) | Flash memory apparatus, memory controller and method for controlling flash memory | |
| CN109213703B (en) | Data detection method and data detection device | |
| CN114710224A (en) | Frame synchronization method and device, computer readable medium and electronic device | |
| US9495261B2 (en) | Systems and methods for reducing memory failures | |
| JP3953425B2 (en) | Content boundary detection device, monitoring method, content position detection method, program, and storage medium | |
| CN105357229B (en) | Video processing method and device | |
| JP2017502424A (en) | Data access method and apparatus | |
| CN108009035B (en) | MP4 file damage detection method and device | |
| CN109597566B (en) | Data reading and storing method and device | |
| CN108196975B (en) | Data verification method and device based on multiple checksums and storage medium | |
| US9484040B2 (en) | Audio decoding method and associated apparatus | |
| CN111681208A (en) | Neglected loading part detection method and device, computer equipment and storage medium | |
| CN109040827B (en) | Video file playing method, storage medium and intelligent terminal | |
| CN114125469B (en) | MP4 file repairing method, device, electronic equipment and storage medium | |
| CN108121911B (en) | Software detection method and device | |
| US10521133B2 (en) | Method and apparatus for real-time blank page detection in data transmission | |
| CN109656509B (en) | Module correction data checking method, terminal equipment and storage medium | |
| CN110597674B (en) | Memory detection method, device, video recording system and storage medium | |
| US10176043B2 (en) | Memory controller |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |