WO2023083213A1

WO2023083213A1 - Data decoding method and apparatus, electronic device and readable storage medium

Info

Publication number: WO2023083213A1
Application number: PCT/CN2022/130860
Authority: WO
Inventors: 林剑森; 何民花
Original assignee: 湖南国科微电子股份有限公司
Priority date: 2021-11-10
Filing date: 2022-11-09
Publication date: 2023-05-19
Also published as: CN114071154A

Abstract

A data decoding method and apparatus, an electronic device and a computer-readable storage medium, the method comprising: acquiring data to be decoded, and dividing the data to be decoded into first data and second data; performing soft decoding on the first data to obtain first decoded data; sending the second data to a hardware decoder, so that the hardware decoder decodes the second data to obtain second decoded data; using the first decoded data and the second decoded data to form decoded data; and further supplementing the decoding capability of the hardware decoder by using the soft decoding capability of a processor, and carrying out decoding by using a decoding means parallel to soft decoding and hard decoding, so that the data decoding speed may be further improved, and the duration required for data decoding is reduced.

Description

A data decoding method, device, electronic equipment and readable storage medium

This application claims the priority of the Chinese patent application submitted to the China Patent Office on November 10, 2021, with the application number 202111326932.1, and the title of the invention is "a data decoding method, device, electronic device, and readable storage medium", all of which The contents are incorporated by reference in this application.

technical field

The present application relates to the technical field of encoding and decoding, and in particular to a data decoding method, a data decoding device, electronic equipment, and a computer-readable storage medium.

Background technique

For encoded data such as image data, it needs to be decoded when reading its content, such as Portable Network Graphics (PNG), which is currently the most popular image format and is used in various common fields. PNG images are compressed using a completely lossless LZ77-derived algorithm. No data loss, which means that when the image content is richer, the PNG image requires more space, so it takes longer to decode the image. In order to increase the speed of data decoding, a hardware decoder dedicated to decoding is usually provided at present, but the speed of data decoding is still relatively slow and takes a long time.

Contents of the invention

In view of this, the object of the present application is to provide a data decoding method, a data decoding device, an electronic device, and a computer-readable storage medium, so as to increase the data decoding speed and reduce the time required for data decoding.

In order to solve the above technical problems, the application provides a data decoding method, including:

acquiring data to be decoded, and dividing the data to be decoded into first data and second data;

performing soft decoding on the first data to obtain first decoded data;

sending the second data to a hardware decoder, so that the hardware decoder decodes the second data to obtain second decoded data;

Decoded data is constructed using the first decoded data and the second decoded data.

Optionally, the acquiring the data to be decoded and dividing the data to be decoded into first data and second data includes:

Acquiring the data to be decoded, and judging whether the data to be decoded is greater than a preset data volume threshold;

If it is greater than the preset data volume threshold, divide the data to be decoded into the first data and the second data.

Optionally, the dividing the data to be decoded into first data and second data includes:

identifying the header data block, several file data blocks and tail data blocks in the data to be decoded;

Determining split points among the plurality of file data blocks according to a preset ratio according to the head-to-tail order;

Inserting a target tail data block at the split point, and inserting a target head data block after the target tail data block;

determining the head data block, the target tail data block, and data blocks between the head data block and the target tail data block as the first data, and setting the target head data block, the The tail data block and the data blocks between the target head data block and the tail data block are determined as the second data;

Wherein, the header information in the target header data block matches the second data.

Optionally, also include:

determining the hardware decoding capability corresponding to the hardware decoder;

Determine the soft solution capability under preset conditions;

The preset ratio is determined according to the hard solution capability and the soft solution capability.

Optionally, also include:

If it is detected that the load balancing condition is satisfied, according to the soft decoding situation, the unprocessed part of the data to be decoded is re-divided into third data and fourth data;

performing soft decoding on the third data as new first data, and sending the fourth data to a hardware decoder as new second data.

Optionally, according to the soft decoding situation, re-dividing the undecoded part of the data to be decoded into third data and fourth data includes:

If the soft decoding situation is that the soft decoding capability is insufficient, divide the first unprocessed part corresponding to the first data in the unprocessed part into the third data and the fourth data, and divide the The second unprocessed part corresponding to the second data in the unprocessed part is determined as the fourth data;

If the soft decoding situation is that the soft decoding capability is excessive, the first unprocessed part corresponding to the first data in the unprocessed part is determined as the third data, and the unprocessed part in the The second unprocessed part corresponding to the second data is divided into the third data and the fourth data.

Optionally, said using said first decoded data and said second decoded data to form decoded data includes:

writing the first decoded data into a first position in memory space based on the position of the first data in the data to be decoded;

If it is detected that all the second decoded data are written into the second position of the memory space based on the position of the second data in the data to be decoded, it is determined that the decoded data is formed.

The present application also provides a data decoding device, including:

A division module, configured to obtain data to be decoded, and divide the data to be decoded into first data and second data;

A soft decoding module, configured to perform soft decoding on the first data to obtain first decoded data;

a hard decoding module, configured to send the second data to a hardware decoder, so that the hardware decoder decodes the second data to obtain second decoded data;

A constituting module, configured to construct decoded data by using the first decoded data and the second decoded data.

The present application also provides an electronic device, including a memory and a processor, wherein:

The memory is used to store computer programs;

The processor is configured to execute the computer program to implement the above data decoding method.

The present application also provides a computer-readable storage medium for storing a computer program, wherein the above-mentioned data decoding method is implemented when the computer program is executed by a processor.

The data decoding method provided by the present application is to obtain data to be decoded, and divide the data to be decoded into first data and second data; perform soft decoding on the first data to obtain first decoded data; The second data is sent to a hardware decoder, so that the hardware decoder decodes the second data to obtain second decoded data; the first decoded data and the second decoded data are used to form decoded data.

It can be seen that when decoding data, this method adopts a decoding method combining soft decoding and hard decoding in order to improve the speed of data decoding. Specifically, after the processor obtains the data to be decoded, it divides it into two parts, that is, the first data and the second data, and the first data is decoded by the processor through software, that is, soft decoding, to obtain the first decoded data; The second part is sent to the hardware decoder for hard decoding to obtain the second decoded data. After the decoding is completed, the first decoded data and the second decoded data are combined to obtain complete decoded data. Use the soft decoding capability of the processor to further supplement the decoding capability of the hardware decoder, and use the soft decoding and hard decoding parallel decoding methods to perform decoding, which can further increase the data decoding speed and reduce the time required for data decoding.

In addition, the present application also provides a data decoding device, an electronic device, and a computer-readable storage medium, which also have the above beneficial effects.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments or related technologies. Obviously, the accompanying drawings in the following description are only For the embodiments of the application, those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

FIG. 1 is a flow chart of a data decoding method provided in an embodiment of the present application;

Fig. 2 is a flow chart of data splitting provided by the embodiment of the present application;

FIG. 3 is a specific flow chart for determining a segmentation point provided in an embodiment of the present application;

FIG. 4 is a flow chart of load balancing provided by an embodiment of the present application;

FIG. 5 is a flow chart of a specific data decoding method provided by an embodiment of the present application;

FIG. 6 is a schematic structural diagram of a data decoding device provided in an embodiment of the present application;

FIG. 7 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

Please refer to FIG. 1 , which is a flow chart of a data decoding method provided in an embodiment of the present application. The method includes:

S101: Acquire data to be decoded, and divide the data to be decoded into first data and second data.

The data to be decoded refers to data that needs to be decoded by software or hardware, and its specific form is not limited, for example, it may be PNG image data. The specific way of obtaining the data to be decoded is not limited, for example, it may be obtained from a specified storage location, or may be obtained through a network communication signal. In order to improve the decoding speed of the data to be decoded, the application utilizes both the soft decoding function of the CPU and the hard decoding function of the hardware decoder to decode the data to be decoded. Therefore, after the CPU acquires the data to be decoded, it needs to divide it into two parts, ie, the first data and the second data, which are used for soft decoding and hard decoding respectively. This embodiment does not limit the specific method of division. In a feasible implementation, for example, PNG image data and other data to be decoded with data header-intermediate data-tail data format can be inserted by inserting new data header and tail data The data to be decoded is divided into two independent smaller data blocks in a manner to complete the generation of the first data and the second data. Specifically, the following steps may be included:

Step 11: Identify the head data block, several file data blocks and tail data blocks in the data to be decoded.

Step 12: Determine the split point among several file data blocks according to the preset ratio according to the head-to-tail order.

Step 13: Insert the target tail data block at the split point, and insert the target head data block after the target tail data block.

Step 14: Determine the head data block, the target tail data block, and the data blocks between the head data block and the target tail data block as the first data, and determine the target head data block, the tail data block, and the data blocks from the target head data block to the end The data blocks between the data blocks are determined as the second data.

Wherein, the header information in the target header data block matches the second data. Taking PNG data as an example, the structure of the entire data to be decoded is shown in Table 1:

Table 1 PNG key data block

Among them, IHDR is a file header data block, or called a header data block, IDAT is an image data block, or called a file data block, and IEND is an image end data, or called a tail data block. Among them, the structure of the IDAT data block is shown in Table 2:

Table 2 Composition of IDAT data block

The structure of the IHDR data block is shown in Table 3:

Table 3 PNG header file information

It can be seen that the header data block in the data to be decoded records the relevant information of the entire data to be processed, so when the data to be decoded is divided by inserting a new target header data block, the newly inserted target header data block The header information (that is, the information in the above Table 3) needs to match the specific situation of the second data.

When dividing the first data and the second data, first identify the header data block (ie IHDR), several file data blocks (ie IDAT) and the corresponding tail data block (ie IEND). Since the data in the file data block is related to the display of the image, when dividing, the method of continuous division is usually adopted, that is, the file data block is only divided once. In this embodiment, specifically, in order from the beginning to the end, starting from the first file data block, the split point is selected according to a preset ratio. The preset ratio refers to the ratio of the data to be decoded that is processed by soft decoding and the ratio that is processed by hard decoding, and its specific size is not limited. It can be understood that when selecting the split point, the file data block is used as the unit, so the final selected split point may not be selected strictly according to the preset ratio, for example, it can be a file selected according to the preset ratio The end-of-block position or the start-of-block position of the data block. After the split point is determined, the target tail data block is first inserted. Usually, the content of the tail data block is fixed, and is used to mark the end of the data. For example, for a PNG image, the content of the tail data block is 00 00 00 00 49 45 4E 44 AE 42 60 82 12 characters. After the cherub target tail data block, insert the target header data block after it. By inserting new tail data blocks and head data blocks, one piece of data to be decoded can be divided into two independent new data, that is, first data and second data.

Please refer to FIG. 2 . FIG. 2 is a flow chart of data splitting provided by an embodiment of the present application. If the data to be decoded is PNG data with a file data block size of 10M, it can be split into first data with a size of 2M and second data with a size of 8M through the above method. The result of the division is externally shown as one image is split into two images. Please refer to FIG. 3 . FIG. 3 is a specific flow chart for determining a segmentation point provided by an embodiment of the present application. Each IDAT data block includes data block length, data block type code (for PNG data, it is specifically 49 44 41 54), compressed data, and CRC (Cyclic Redundancy Check, cyclic redundancy) for verification checksum) checksum. When dividing, you can start from the first IDAT data block, select the IDAT data blocks sequentially according to the order of the head and the tail, and accumulate the data block lengths of each selected IDAT data block. When the accumulated value of the data block length is detected. If the proportion of the divided data matches the preset proportion, the position between the accumulated data block and the unaccumulated data block is determined as the division point.

It should be noted that the specific size of the preset ratio is not limited, and can be formulated as required, for example, it can be designated as 20%. In another embodiment, in order to reduce the time required for decoding as much as possible, the preset ratio can be set according to the soft decoding capability and the hard decoding capability, so as to evenly distribute the load for the CPU and the hardware decoder as much as possible. Specifically, the following steps can be performed:

Step 21: Determine the hardware decoding capability corresponding to the hardware decoder.

Step 22: Determine the soft solution capability under preset conditions.

Step 23: Determine the preset ratio according to the hard solution capability and the soft solution capability.

Since the CPU cannot use all computing resources for data decoding, it also needs to use some computing resources for other services. Therefore, when determining the soft decoding capability of the CPU, it is necessary to determine the soft decoding capability of the CPU under preset conditions. The preset conditions refer to the computing resource constraints used by the CPU when decoding data. For example, 50% of the computing resources can be used for the CPU. The condition for data decoding. By setting preset conditions, the determined soft solution capability is more in line with the actual decoding situation, making the setting of the preset ratio more accurate. The specific forms of the hard decoding capability and the soft decoding capability are not limited, for example, it may be the amount of data to be decoded that can be processed per unit time. After the soft solution capability and the hard solution capability are determined, the preset ratio can be determined according to the size ratio of the two. For example, when _{Phard solution} =4Psoft _solution , the preset ratio can be determined as 20%.

In another embodiment, it can be understood that the disassembly of the data to be decoded also takes a certain amount of time. In the case that the time required for decoding by using the hardware decoder is relatively short, the division and the soft decoding are used at the same time. It may take longer to decode with the hard solution. Therefore, when dividing the first data and the second data, the following steps can be performed:

Step 31: Obtain the data to be decoded, and judge whether the data to be decoded is greater than a preset data volume threshold.

Step 32: If it is greater than the preset data volume threshold, divide the data to be decoded into first data and second data.

The preset data volume threshold refers to the threshold used to judge whether it is necessary to use a decoding method that combines hard decoding and soft decoding for decoding. If the data amount of the data to be decoded is not greater than the preset data amount threshold, it means that the data to be decoded is relatively small, and the time required for decoding by using a hardware decoder alone is short, so the existing method can be used for decoding. If it is greater than the preset data volume threshold, it means that the data to be decoded is relatively large, and the decoding time required by the combination of soft decoding and hard decoding is relatively short, so it can be divided into the first data and the second data. It should be noted that there may be multiple preset data volume thresholds, and each preset data volume threshold corresponds to the load of the CPU, because the load of the CPU also affects the time required for dividing the data to be decoded.

S102: Perform soft decoding on the first data to obtain first decoded data.

After the division of the first data and the second data is completed, the CPU is responsible for performing soft decoding on the first data, and the first decoded data is obtained after decoding. It can be understood that, taking PNG data as an example, when performing soft decoding, the CPU sequentially decodes the compressed data in each IDAT data block. Therefore, the first decoded data includes all data obtained after decoding the first data.

S103: Send the second data to the hardware decoder, so that the hardware decoder decodes the second data to obtain second decoded data.

Correspondingly, the hardware decoder is responsible for decoding the second data. Usually, the division of data is carried out in the storage location that can be accessed by the CPU, and the hardware decoder usually does not have the ability to actively read the data, so after the second data is divided, the CPU needs to send the second data to the hardware decoding device, so that it decodes the second data to obtain the second decoded data. It should be noted that step S102 and step S103 should be executed in parallel.

Furthermore, in a feasible implementation manner, during the decoding process of the first data and the second data, due to reasons such as inaccurate initial division or changes in the allocation of CPU computing resources, one of the CPU or the hardware decoder may The load is too heavy or too light, which will cause the problem that the decoding time is prolonged or the decoding capacity is not fully utilized. In order to solve the above problems, during the decoding process, the load of the CPU and the hardware decoder can also be balanced according to the decoding situation, so as to make full use of the decoding capability as much as possible and reduce the decoding time. Specifically, the following steps can also be performed:

Step 41: If it is detected that the load balancing condition is satisfied, according to the soft decoding situation, the unprocessed part of the data to be decoded is re-divided into third data and fourth data.

Step 42: Perform soft decoding on the third data as new first data, and send the fourth data to the hardware decoder as new second data.

The load balancing condition refers to the condition that the load allocated to the CPU and the hardware decoder needs to be redistributed, and its specific content is not limited. For example, a change in the computing resources used by the CPU for soft solution results in a change in the time required for the soft solution, or It means that the variation range of the duration of the change exceeds the preset range. Since the decoding capability of the hardware decoder is usually fixed, the satisfaction of the load balancing condition is usually caused by the change of the soft decoding situation. Therefore, if it is detected that the load balancing condition is satisfied, according to the soft decoding situation, the unprocessed part of the data to be decoded is re-divided to obtain the third data and the fourth data. Wherein, the unprocessed part includes the unprocessed part in the first data and/or the unprocessed part in the second data. After the division is completed, the third data is determined as the new first data, which is soft-decoded, and the fourth data is determined as the new second data, which is hard-decoded.

Specifically, the soft decoding situation reflects the changes of the CPU during the soft decoding process, which may specifically provide the CPU with more computing resources for soft decoding, or provide less computing resources for soft decoding. Therefore, the process of re-dividing the third data and the fourth data may include the following steps:

Step 51: If the soft decoding situation is that the soft decoding capability is insufficient, divide the first unprocessed part corresponding to the first data in the unprocessed part into third data and fourth data, and divide the unprocessed part corresponding to the second data The second unprocessed portion is determined as fourth data.

Step 52: If the soft decoding situation is that the soft decoding capacity is excessive, determine the first unprocessed part corresponding to the first data in the unprocessed part as the third data, and determine the second unprocessed part corresponding to the second data in the unprocessed part The part is divided into third data and fourth data.

If the soft decoding is that the soft decoding capability is insufficient, it means that the CPU cannot complete the decoding of all the first data on time according to the pre-plan. Therefore, the first unprocessed part corresponding to the first data in the unprocessed part is divided into third data and fourth data, that is, part of the load originally responsible by the CPU is redistributed to the hardware decoder for processing, and the unprocessed part The second unprocessed part corresponding to the second data is determined as the fourth data.

If the soft decoding situation is that the soft decoding capacity is excessive, it means that the CPU provides more computing resources than planned for decoding. In this case, the second unprocessed part corresponding to the second data in the unprocessed part is divided into third data and fourth data, that is, part of the load originally responsible for the hardware decoder is redistributed to the CPU for processing, and the unprocessed part is divided into the third data and the fourth data. The first unprocessed part corresponding to the first data in the processed part is determined as the third data.

Please refer to FIG. 4 . FIG. 4 is a flow chart of load balancing provided by an embodiment of the present application. It can be seen that the originally divided first data is 1M, and the second data is 9M. During the decoding process, it was found that the CPU provided more computing resources than expected for soft decoding, and its soft decoding capacity was excessive. In this case, since the hardware decoder decodes the second data in head-to-tail order, the unprocessed second unprocessed part can be selected from the tail of the original 9M, and the 1M size can be divided as the third part data, and determine the remaining second unprocessed part as fourth data.

S104: Use the first decoded data and the second decoded data to form decoded data.

After the first decoded data and the second decoded data are obtained, they can be used to form completed decoded data corresponding to the data to be decoded. It can be understood that by dividing the data to be decoded into two parts and performing soft decoding and hard decoding respectively, more data can be decoded per unit time, making the speed of data decoding faster.

In one embodiment, the hard solution and the soft solution may not be completed at the same time, and only when all the first decoded data and the second decoded data are obtained can they be used to form complete decoded data. Therefore, the process of forming decoded data may include the following steps:

Step 61: Based on the position of the first data in the data to be decoded, write the first decoded data into the first position of the memory space.

Step 62: If it is detected that all the second decoded data are written into the second position of the memory space based on the position of the second data in the data to be decoded, then it is determined that the decoded data is constructed.

Usually, the hardware decoder can directly write to the memory space, so there is no need for the CPU to obtain the second decoded data. After the first decoded data and the second decoded data are obtained, since the writing position of the first decoded data and the second decoded data is related to whether the complete decoded data obtained after decoding is correct or not, when writing, it needs to be based on the decoded The position of the first data or the second data in the data to be decoded writes the decoded data into the memory space. The CPU monitors the writing of the second decoded data, and after detecting that all the second decoded data is written into the memory space, it can determine that all the decoded data is completed, and then determine that the decoded data is formed.

Please refer to FIG. 5 . FIG. 5 is a flowchart of a specific data decoding method provided by an embodiment of the present application, which is specifically used for decoding a picture file. After the image file is read or obtained through the network, it is judged whether its type is the type that needs to be decoded, and if not, it is processed in a conventional manner. If decoding is required, the size and type of the image are obtained for subsequent determination of the decoding method. According to the current CPU load and the hard decoding capability of the hardware decoder (that is, the decoding module capability), it is judged whether the size of the current picture needs to be processed simultaneously by soft decoding and hard decoding. If it is not needed, it is processed in the normal way. If necessary, the CPU will decompose and subpackage the picture file, send the second data to the hardware decoder, and record the distribution of the data packets of the soft solution and the hard solution at the same time, so as to perform balance monitoring. Load balancing conditions, recalculate the current data volume and redistribute it, so as to ensure the balance of soft solution and hard solution, and try to make the two complete at the same time. After the decoding is completed, the data content output in the two decoding modes is integrated and sent to the terminal or other decoded data demanders.

Applying the data decoding method provided by the embodiment of the present application, when performing data decoding, in order to improve the speed of data decoding, a decoding method combining soft decoding and hard decoding is adopted. Specifically, after the processor obtains the data to be decoded, it divides it into two parts, that is, the first data and the second data, and the first data is decoded by the processor through software, that is, soft decoding, to obtain the first decoded data; The second part is sent to the hardware decoder for hard decoding to obtain the second decoded data. After the decoding is completed, the first decoded data and the second decoded data are combined to obtain complete decoded data. Use the soft decoding capability of the processor to further supplement the decoding capability of the hardware decoder, and use the soft decoding and hard decoding parallel decoding methods to perform decoding, which can further increase the data decoding speed and reduce the time required for data decoding.

The data decoding device provided by the embodiment of the present application is introduced below, and the data decoding device described below and the data decoding method described above may be referred to in correspondence.

Please refer to FIG. 6. FIG. 6 is a schematic structural diagram of a data decoding device provided in an embodiment of the present application, including:

A dividing module 110, configured to acquire data to be decoded, and divide the data to be decoded into first data and second data;

The soft decoding module 120 is configured to perform soft decoding on the first data to obtain the first decoded data;

The hard decoding module 130 is configured to send the second data to the hardware decoder, so that the hardware decoder decodes the second data to obtain second decoded data;

A forming module 140, configured to use the first decoded data and the second decoded data to form decoded data.

Optionally, the division module 110 includes:

A size judging unit, configured to acquire data to be decoded, and judge whether the data to be decoded is greater than a preset data volume threshold;

The division unit is configured to divide the data to be decoded into first data and second data if it is greater than a preset data volume threshold.

Optionally partition module 110, comprising:

A data block identification unit, configured to identify a header data block, several file data blocks and tail data blocks in the data to be decoded;

A split point determining unit, configured to determine a split point among several file data blocks according to a preset ratio according to the head-to-tail sequence;

A data block insertion unit is used to insert the target tail data block at the split point, and insert the target head data block after the target tail data block;

The split determination unit is used to determine the header data block, the target tail data block, and the data blocks between the header data block and the target tail data block as the first data, and determine the target header data block, the tail data block, and the data blocks from the target header The data block between the data block and the tail data block is determined as the second data;

Optionally, also include:

The hard solution capability determination module is used to determine the hard solution capability corresponding to the hardware decoder;

A soft solution capability determination module is used to determine the soft solution capability under preset conditions;

The ratio determination module is used to determine the preset ratio according to the hard solution capability and the soft solution capability.

Optionally, also include:

A re-division module, configured to re-divide the unprocessed part of the data to be decoded into third data and fourth data according to the soft decoding situation if it is detected that the load balancing condition is met;

The decoding processing module is configured to perform soft decoding on the third data as new first data, and send the fourth data to the hardware decoder as new second data.

Optionally, repartition the modules, including:

The first division unit is used to divide the first unprocessed part corresponding to the first data in the unprocessed part into third data and fourth data if the soft decoding situation is that the soft decoding capability is insufficient, and divide the unprocessed part into the third data and the fourth data. The second unprocessed part corresponding to the second data is determined as the fourth data;

The second division unit is used to determine the first unprocessed part corresponding to the first data in the unprocessed part as the third data if the soft decoding situation is that the soft decoding capability is excessive, and determine the corresponding part of the second data in the unprocessed part The second unprocessed portion is divided into third data and fourth data.

Optionally, constitute module 140, including:

A writing unit, configured to write the first decoded data into the first position of the memory space based on the position of the first data in the data to be decoded;

The configuration determination unit is configured to determine that the configuration of the decoded data is completed if it is detected that all the second decoded data are written into the second position of the memory space based on the position of the second data in the data to be decoded.

The electronic device provided by the embodiment of the present application is introduced below, and the electronic device described below and the data decoding method described above may be referred to in correspondence.

Please refer to FIG. 7 , which is a schematic structural diagram of an electronic device provided in an embodiment of the present application. The electronic device 100 may include a processor 101 and a memory 102 , and may further include one or more of a multimedia component 103 , an information input/information output (I/O) interface 104 and a communication component 105 .

Among them, the processor 101 is used to control the overall operation of the electronic device 100 to complete all or part of the steps in the above data decoding method; the memory 102 is used to store various types of data to support the operation of the electronic device 100, these data For example, instructions for any application or method operating on the electronic device 100 may be included, as well as application-related data. The memory 102 can be realized by any type of volatile or non-volatile storage device or their combination, such as Static Random Access Memory (Static Random Access Memory, SRAM), Electrically Erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (Read-Only Memory, One or more of Only Memory, ROM), magnetic memory, flash memory, magnetic disk or optical disk.

Multimedia components 103 may include screen and audio components. The screen can be, for example, a touch screen, and the audio component is used for outputting and/or inputting audio signals. For example, an audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 102 or sent via the communication component 105 . The audio component also includes at least one speaker for outputting audio signals. I/O interface 104 provides interface between processor 101 and other interface modules, and above-mentioned other interface modules can be keyboard, mouse, button etc. These buttons can be virtual buttons or physical buttons. The communication component 105 is used for wired or wireless communication between the electronic device 100 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 105 may include: Wi-Fi parts, Bluetooth parts, NFC parts.

The electronic device 100 may be implemented by one or more Application Specific Integrated Circuit (ASIC for short), Digital Signal Processor (DSP for short), Digital Signal Processing Device (DSPD for short), Programmable Logic Device (Programmable Logic Device, PLD for short), Field Programmable Gate Array (Field Programmable Gate Array, FPGA for short), controller, microcontroller, microprocessor or other electronic components are implemented for implementing the above embodiments The given data decoding method.

The computer-readable storage medium provided by the embodiments of the present application is introduced below, and the computer-readable storage medium described below and the data decoding method described above may be referred to in correspondence.

The present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned data decoding method are implemented.

The computer-readable storage medium may include: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc., which can store program codes. medium.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same or similar parts of each embodiment can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for relevant details, please refer to the description of the method part.

Those skilled in the art can further appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the hardware and software In the above description, the components and steps of each example have been generally described according to their functions. Whether these functions are executed by means of hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may implement the described functionality using different methods for each particular application, but such implementation should not be considered as exceeding the scope of the present application.

The steps of the methods or algorithms described in connection with the embodiments disclosed herein may be directly implemented by hardware, software modules executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

Finally, it should also be noted that in this article, relationships such as first and second etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations, any such actual relationship or order exists. Moreover, the term comprises, comprises, or any other variation is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements but also other elements not expressly listed, or Yes also includes elements inherent to such a process, method, article, or device.

In this paper, specific examples are used to illustrate the principles and implementation methods of the application. The descriptions of the above embodiments are only used to help understand the method and core idea of the application; meanwhile, for those of ordinary skill in the art, according to the application There will be changes in the specific implementation and scope of application. In summary, the content of this specification should not be construed as limiting the application.

Claims

A data decoding method, characterized in that, comprising:

acquiring data to be decoded, and dividing the data to be decoded into first data and second data;

performing soft decoding on the first data to obtain first decoded data;

sending the second data to a hardware decoder, so that the hardware decoder decodes the second data to obtain second decoded data;

Decoded data is constructed using the first decoded data and the second decoded data.
The data decoding method according to claim 1, wherein said acquiring data to be decoded and dividing said data to be decoded into first data and second data comprises:

Acquiring the data to be decoded, and judging whether the data to be decoded is greater than a preset data volume threshold;

If it is greater than the preset data volume threshold, divide the data to be decoded into the first data and the second data.
The data decoding method according to claim 1, wherein said dividing the data to be decoded into first data and second data comprises:

identifying the header data block, several file data blocks and tail data blocks in the data to be decoded;

Determining split points among the plurality of file data blocks according to a preset ratio according to the head-to-tail order;

Inserting a target tail data block at the split point, and inserting a target head data block after the target tail data block;

determining the head data block, the target tail data block, and data blocks between the head data block and the target tail data block as the first data, and setting the target head data block, the The tail data block and the data blocks between the target head data block and the tail data block are determined as the second data;

Wherein, the header information in the target header data block matches the second data.
The data decoding method according to claim 3, further comprising:

determining the hardware decoding capability corresponding to the hardware decoder;

Determine the soft solution capability under preset conditions;

The preset ratio is determined according to the hard solution capability and the soft solution capability.
The data decoding method according to claim 1, further comprising:

If it is detected that the load balancing condition is satisfied, according to the soft decoding situation, the unprocessed part of the data to be decoded is re-divided into third data and fourth data;

performing soft decoding on the third data as new first data, and sending the fourth data to a hardware decoder as new second data.
The data decoding method according to claim 5, wherein, according to the soft decoding situation, re-dividing the undecoded part of the data to be decoded into third data and fourth data includes:

If the soft decoding situation is that the soft decoding capability is insufficient, divide the first unprocessed part corresponding to the first data in the unprocessed part into the third data and the fourth data, and divide the The second unprocessed part corresponding to the second data in the unprocessed part is determined as the fourth data;

If the soft decoding situation is that the soft decoding capability is excessive, the first unprocessed part corresponding to the first data in the unprocessed part is determined as the third data, and the unprocessed part in the The second unprocessed part corresponding to the second data is divided into the third data and the fourth data.
The data decoding method according to claim 1, wherein said using said first decoded data and said second decoded data to form decoded data comprises:

writing the first decoded data into a first position in memory space based on the position of the first data in the data to be decoded;

If it is detected that all the second decoded data are written into the second position of the memory space based on the position of the second data in the data to be decoded, it is determined that the decoded data is formed.
A data decoding device is characterized in that it comprises:

A division module, configured to obtain data to be decoded, and divide the data to be decoded into first data and second data;

A soft decoding module, configured to perform soft decoding on the first data to obtain first decoded data;

a hard decoding module, configured to send the second data to a hardware decoder, so that the hardware decoder decodes the second data to obtain second decoded data;

A constituting module, configured to construct decoded data by using the first decoded data and the second decoded data.
An electronic device, comprising a memory and a processor, wherein:

The memory is used to store computer programs;

The processor is configured to execute the computer program to implement the data decoding method according to any one of claims 1-7.
A computer-readable storage medium, characterized by being used to store a computer program, wherein the computer program implements the data decoding method according to any one of claims 1 to 7 when executed by a processor.