CN109982111B - Text content transmission optimization method and device based on live broadcast network system - Google Patents
Text content transmission optimization method and device based on live broadcast network system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/235—Processing of additional data, e.g. scrambling of additional data or processing content descriptors
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/235—Processing of additional data, e.g. scrambling of additional data or processing content descriptors
- H04N21/2355—Processing of additional data, e.g. scrambling of additional data or processing content descriptors involving reformatting operations of additional data, e.g. HTML pages
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26291—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for providing content or additional data updates, e.g. updating software modules, stored at the client
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/435—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/435—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
- H04N21/4355—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream involving reformatting operations of additional data, e.g. HTML pages on a television screen
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/458—Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations
- H04N21/4586—Content update operation triggered locally, e.g. by comparing the version of software modules in a DVB carousel to the version stored locally
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
Abstract
The invention discloses a text content transmission optimization method based on a live broadcast network system, wherein the live broadcast network system comprises a server and a client, data communication is arranged between the server and the client, and a dictionary database is synchronously stored between the server and the client; the method for optimizing the transmission of the text content is executed by a server or a client, and comprises the steps of acquiring a first text message containing a text input by a user, and extracting text characters in the first text message; filtering and screening text characters; querying a dictionary database, determining code characters corresponding to the text characters conforming to the filtering and screening in the dictionary database, and converting the text characters conforming to the filtered and screened first text message into the code characters to generate a second text message; a second text message is transmitted. The invention can reduce the bandwidth ratio of the message with text content in the transmission process, thereby effectively reducing the bandwidth cost.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a text content transmission optimization method and device based on a live broadcast network system.
Background
With the progress of network communication technology and the increasing speed of broadband networks, network video applications are more and more widely developed in various industries. The visual and vivid high-definition video application can greatly shorten the distance between users and achieve the best communication effect.
The barrage is a great characteristic of internet videos. The bullet screen refers to a comment directly appearing on a video, can appear on the video in a rolling, staying or even more action special effect mode, and is a short comment sent at will for watching the video. Barrage video, as the name implies, is the video with the barrage. Many websites provide video delivery barrage functionality, such as movie and video websites, live websites, and so forth.
Currently, JSON format is typically used to store a large number of bullet screen messages. The bullet screen text (for example, "old iron double click six") transmitted in the bullet screen message is chinese characters, and when the bullet screen data volume is too large, the chinese characters occupy a large bandwidth, which may cause a small bandwidth and performance pressure on the source station. For the live broadcast service provider, it is usually selected to delete part of the user barrage, which results in degraded user experience, or to incur higher bandwidth cost. Therefore, a method for reducing the bandwidth ratio of text content transmission is needed.
Disclosure of Invention
In order to solve the problems, the invention provides a text content transmission optimization method and device based on a live broadcast network system, which can transmit text characters in a shorter mode by cutting and converting the text characters in a bullet screen message, thereby reducing the bandwidth cost to a certain extent. The details are as follows.
In a first aspect, an embodiment of the present invention provides a text content transmission optimization method, which specifically includes the following steps:
acquiring a first text message containing a text input by a user, and extracting text characters in the first text message;
converting text characters in the first text message into code characters to generate a second text message;
the second text message is transmitted.
In a first possible implementation of the first aspect, the step of converting text characters in the first text message into code characters comprises:
the dictionary database is queried to determine code characters of the text characters corresponding to the dictionary database, and the text characters in the first text message are replaced with the corresponding code characters.
In a second possible implementation manner of the first aspect, the step of extracting text characters in the first text message comprises:
and performing word cutting/sentence cutting on the text content in the first text message, and extracting text characters in the first text message according to the word cutting/sentence cutting result.
In a third possible implementation manner of the first aspect, before the step of querying the dictionary database, the method further includes:
determining a dictionary database; the step of determining the dictionary database includes a dictionary database establishing operation and a dictionary database updating operation, and specifically includes:
collecting existing text characters through network or manual input, wherein the existing text characters can comprise vocabularies, short sentences, popular phrases, expression pictures and the like;
and establishing a corresponding relation between the existing text characters and the code characters according to a preset rule, and generating/updating a dictionary database.
In a second aspect, an embodiment of the present invention provides a text content transmission optimization method based on a live broadcast network system, where the live broadcast network system includes a server and a client; data communication is set between the server and the client, and a dictionary database is synchronously stored between the server and the client; the text content transmission optimization method is implemented by a server or a client according to any of the embodiments of the first aspect.
In a first possible implementation manner of the second aspect, when the server performs the steps of the transmission optimization method described in any implementation manner of the first aspect, the server transmits the second text message to all clients in the live broadcast network system, and the clients are configured to perform reverse parsing on the second text message according to the dictionary database to convert code characters in the second text message back to text characters.
In a second possible implementation manner of the second aspect, when the step of the transmission optimization method described in any implementation manner of the first aspect is executed by the client, the text content transmission optimization method further includes the following steps:
the client transmits the second text message to the server; the server is used for broadcasting the second text message to all the clients in the live broadcast network system; and all the clients in the live broadcast network system are used for reversely analyzing the second text message according to the dictionary database so as to convert the code characters in the second text message back to the text characters.
In a third possible implementation of the second aspect, the step of synchronizing the dictionary database between the server and the client comprises:
the server collects the existing text characters through network or manual input, wherein the existing text characters can comprise vocabularies, short sentences, popular phrases, expression pictures and the like;
and establishing a corresponding relation between the existing text characters and the code characters according to a preset rule, and generating/updating a dictionary database.
In a fourth possible implementation manner of the second aspect, the dictionary database is transmitted to a CDN edge server for storage; the CDN server is used for issuing the dictionary database to the client when the client reports the calling request.
In a third aspect, an embodiment of the present invention provides a text content transmission optimization apparatus based on a live broadcast network system, where the live broadcast network system includes a server and a client; wherein the content of the first and second substances,
the client comprises:
a first acquiring unit configured to acquire a first text message including a user input text;
a first transmitting unit for transmitting the first text message to the server;
the first receiving unit is used for receiving a second text message which is processed and issued by the server; the processing by the server includes converting text characters in the first text message to code characters;
the dictionary synchronization unit is used for synchronizing the dictionary database stored in the server to the client; the CDN edge server is also used for pulling a dictionary database stored in the CDN edge server into the client so as to update the existing dictionary database in the client;
and the code analysis unit is used for analyzing the second text message according to the dictionary database stored in the client so as to convert the code characters in the second text message into text characters.
The server includes:
the second acquisition unit is used for acquiring the first text message uploaded by the client;
a server extraction unit for extracting text characters in the first text message;
a server conversion unit for converting text characters in the first text message into code characters according to a dictionary database to generate a second text message;
the second transmission unit is used for transmitting the second text message to all the clients in the live broadcast network system;
the dictionary updating unit is used for collecting the existing text characters through network or manual input and establishing the corresponding relation between the existing text characters and the code characters according to a preset rule so as to update a dictionary database stored in the server; the existing text characters comprise words, phrases, popular lines and expression pictures.
In a fourth aspect, an embodiment of the present invention provides a text content transmission optimization apparatus based on a live broadcast network system, where the live broadcast network system includes a server and a client; wherein the content of the first and second substances,
the client comprises:
a first acquiring unit configured to acquire a first text message including a user input text;
the client extraction unit is used for extracting text characters in the first text message;
the client conversion unit is used for converting text characters in the first text message into code characters according to the dictionary database so as to generate a second text message;
a first transmitting unit for transmitting the second text message to the server;
the first receiving unit is used for receiving a second text message which is processed and issued by the server;
the dictionary synchronization unit is used for synchronizing the dictionary database stored in the server to the client; the CDN edge server is also used for pulling a dictionary database stored in the CDN edge server into the client so as to update the existing dictionary database in the client;
and the code analysis unit is used for analyzing the second text message issued by the server according to the dictionary database stored in the client so as to convert the code characters in the second text message into text characters.
The server includes:
the second acquiring unit is used for acquiring a second text message uploaded by the client;
the second transmission unit is used for transmitting the second text message to all the clients in the live broadcast network system;
the dictionary updating unit is used for collecting the existing text characters through network or manual input and establishing the corresponding relation between the existing text characters and the code characters according to a preset rule so as to update a dictionary database stored in the server; the existing text characters comprise words, phrases, popular lines and expression pictures.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a text content transmission optimization method and device based on a live broadcast network system.
Meanwhile, in view of the difference in configuration performance of user terminal devices in the current market, the text content transmission optimization method based on the live broadcast network system provided in the embodiment of the present invention includes performing character conversion of text content on a server or performing character conversion of text content on a client (user terminal). In the case of low configuration of the user terminal, the text content can be converted on the server to reduce the power consumption of the user terminal and reduce the performance requirement of the user terminal; and in the case of higher configuration of the user terminal, the character conversion of the text content can be directly carried out on the user terminal, and further, the transmission load from the text message to the server from the client is also reduced.
In some embodiments, the dictionary database inevitably becomes larger and larger in capacity and larger in file volume due to the continuous update of the dictionary database, so that if each user pulls the dictionary from the source station server, huge bandwidth and performance pressure are exerted on the source station server. In this case, in the method of the present invention, the source station server may send the dictionary database created or updated by the source station server to the edge node server in a CDN manner, and the edge node server stores the dictionary database sent by the source station, so that when a request from a client to the dictionary database is received, the dictionary database is transmitted to the client in time, thereby keeping the dictionary database between the client and the server consistent, and reducing bandwidth and performance pressure of the source station server due to the increase of the dictionary database.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart illustrating an embodiment of a text content transmission optimization method provided by the present invention;
fig. 2 is a flowchart illustrating an embodiment of a text content transmission optimization method based on a live broadcast network system according to the present invention;
fig. 3 is a schematic flowchart of another embodiment of a text content transmission optimization method based on a live broadcast network system according to the present invention;
fig. 4 is a schematic structural diagram of an embodiment of a live network system provided by the present invention;
fig. 5 is a schematic structural diagram of an embodiment of a text content transmission optimization device based on a live broadcast network system according to the present invention;
fig. 6 is a schematic structural diagram of an embodiment of a text content transmission optimization device based on a live broadcast network system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment:
referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a text content transmission optimization method provided by the present invention. The text content transmission optimization method is executed by a computer and specifically comprises the following steps:
s10, obtaining a first text message containing the text input by the user, and extracting the text characters in the first text message.
In this embodiment, the first text message may be a JSON-formatted stored message having text content therein. For example, the first text message stored in JSON format is: 101, msg ═ type ═ chatmsg ═ 591839, ct ═ 1, uid ═ 46387962, nn (user id) ═ love of consciousness, txt (barrage text) ═ congratulate wealth, cid ═ 123456, ic ═ abcdefg, level ═ 4, el ═ and } }. Wherein, the text input by the user in the first text message is txt ═ congratulations for getting rich. And the text character extracted from the first text message is four characters of 'May you be happy with money'. It should be understood that the manner in which the user inputs text includes input schemes that operate via a keyboard, soft keyboard, touch screen, voice, etc.
S20, converting text characters in the first text message into code characters to generate a second text message.
Code characters are an expression scheme that is much shorter than text characters. Generally, text characters can be directly converted into code characters through preset rules. For example, the text character "May you like you get wealth" may be converted directly to the code character "/gxfc". The first text message stored in the JSON format as above may be modified to { type:101, msg { (type ═ chatmsg), "rid ═ 591839", ct ═ 1", uid ═ 46387962", nn (user id) } love of consciousness ", txt (barrage text) },"/gxfc ", cid ═ 123456", ic ═ abcdefg ", level ═ 4", el ═ and "}. The second text message is the modified first text message.
In this embodiment, the corresponding relationship between the text characters and the code characters may be preset to avoid the phenomenon that a plurality of text characters point to the same code character. Typically, such correspondence is stored in a dictionary database. That is, a dictionary database containing the correspondence between text characters and code characters is set in advance. It should be understood that the correspondence between text characters and code characters is unique here, and a single text character will correspond to only a single code character. For example:
today-/jt
I-/w
May you be happy and prosperous-/gxfc
The corresponding mode is that the initial letters of the pinyin are used as code characters of a preset rule. It will be appreciated that this is by way of example only and that the form of the code characters may include other forms which are self-defined by the user, for example in the form of morse code or the like, in addition to the forms described above. Still taking the aforementioned code characters with pinyin initials as the preset rules as an example, due to the diversity of chinese, different vocabularies may often be abbreviated with the same set of pinyin initials, for example, the initials of chinese "anchor", "live", "ready" are all "zb", and there will be conflicts if only their code characters are defined directly as initials. In this case, the acronym may be followed by a number, it being understood that the number may be a number in the sequence of arabic numerals, in the sequence of english letters, or in any other character type. Here, code characters of chinese "anchor", "live", "ready" may be defined as "/zb 1", "/zb 2", "/zb 3", respectively, taking the number of the arabic number sequence as an example. Therefore, the uniqueness of the corresponding relation between the text characters and the code characters is ensured.
In addition, as described above, in this embodiment, before converting text characters into code characters, the extracted text characters may be filtered and filtered. That is, a character filter table including a previously recorded non-civilized word is set in advance. When the text character is extracted from the first text message, the text character is filtered, that is, the text character is compared with the vocabulary in the character filter table, and whether the vocabulary corresponding to the text character exists in the character filter table is judged. If the character filter table is judged to have the vocabulary corresponding to the text character, the extracted text character is marked as an uncivilized vocabulary, and the first text message where the text character is located is not subjected to subsequent processing. That is, the first text message is not converted to generate the second text message, nor is the first text message transmitted. Thereby avoiding the scattering of the undeniated words.
In still other cases, the textual content in the first text message may be in the form of a long sentence, e.g., "productivity is vigorously developed centered on economic construction". Since in the previous definition, to reasonably limit the size of the dictionary database, the text characters stored in the dictionary database only include single words, vocabularies, phrases, and expression kicks. Typically, text characters are limited to a length of 2 to 15 words. In the case of such a long sentence, necessary word or sentence cutting needs to be performed for the long sentence. For example, if the text input by the user is "energetically develop productivity centered on economic construction", the text character can be "energetically/economically/constructively/energetically/productively", and the text character is "energetically", "economically", "constructively", "energetically", "evolvedly", "productively". According to the text characters after word cutting, the corresponding relation between the relevant text characters and the code characters in the dictionary database is inquired, and the text content in the first text message is sequentially modified into "/y", "/jj", "/js", "/w", "/zx", "/dl", "/fz", "/scl correspondingly. And the text content in the generated second text message is 'y/jj/js/w/zx/dl/fz/scl'. It should be understood that the word segmentation technique used herein can directly use existing word segmentation algorithms, including: a word segmentation method based on character string matching, a word segmentation method based on understanding and a word segmentation method based on statistics. In another case, it may occur that no relevant text character has been collected in the dictionary database, and at this point no change is made to the text character, which is still represented in its original form. For example, in the above example, "productivity" fails to find the corresponding code character in the dictionary database, the text content in the second text message generated after conversion should be "/y/jj/js/w/zx/dl/fz productivity".
Further, it should be understood that prior to the step of querying the dictionary database, existing text characters may also be collected via network or manual input, and may include common chinese words, phrases, popular phrases, emoticons, and the like. And after the existing text characters are collected, continuously establishing the corresponding relation between the existing text characters and the code characters according to a preset rule, thereby generating a dictionary database. And in other cases where a dictionary database already exists, the dictionary database is updated. And supplementing the newly generated dictionary database into the original dictionary database to complete the updating of the dictionary database.
S30, transmitting the second text message.
Since the text content in the second text message is represented in the form of code characters having a smaller bandwidth fraction than the original text characters, the bandwidth fraction required for transmitting the second text message may be smaller than the bandwidth fraction required for transmitting the first text message. In this way, text content transmission with smaller bandwidth ratio is realized.
Second embodiment:
referring to fig. 2 and fig. 4, fig. 2 is a schematic flowchart illustrating an embodiment of a text content transmission optimization method based on a live broadcast network system according to the present invention; fig. 4 is a schematic structural diagram of an embodiment of a live network system provided by the present invention. The live network system comprises a server and a client. In the embodiment shown in fig. 4, the live network system specifically includes a server, a plurality of clients, and an edge node server. It should be understood that the server, the edge node server and the client have data communication connection therebetween. In this embodiment, both the server and the client store a dictionary database. On this basis, in this embodiment, the step of executing, by the server, the transmission optimization method according to any one of the possible implementation manners in the first embodiment may specifically include the following steps:
a1, the client end obtains the text content input by the user and generates a first text message. As described in the first embodiment, the generated first text message is in the form of JSON. The input method of the user is also as described in the first embodiment, and will not be described herein. After the client generates a first text message according to the text content input by the user, the generated first text message is uploaded to the server.
A2, the server acquires the first text message uploaded by the client, identifies the text content in the first text message, and performs necessary word or sentence cutting on the text content so as to extract the text characters in the first text message.
A3, the server inquires the dictionary database according to the result of word or sentence cutting, and searches the dictionary database for the code character corresponding to the text character. Because the text characters and the code characters have unique corresponding mapping relation, the problem of collision of the text characters and the code characters when corresponding is avoided.
A4, the server converts the text characters in the first text message into corresponding code characters according to the query result in the dictionary database, and generates a second text message. That is, the text content in the second text message is represented in the form of code characters.
A5, the server transmits the generated second text message to all clients in the live network system. Because the text content in the second text message is represented by code characters having a smaller bandwidth ratio than the text content in the first text message, less bandwidth may be required to transmit the second text message than the first text message. In current applications, such as the barrage in a live video website, the small bandwidth improvement for a single barrage and the overall barrage transmission can be very large improvements due to the large number of barrages.
A6, after receiving the second text message sent by the server, the client analyzes the second text message, and converts the code characters in the second text message back to text characters according to the dictionary database stored in the client. Thus, the text content that is still input by the user is finally displayed on the client.
Besides the steps, the method further comprises the establishing operation and the updating operation of the dictionary database. Typically, the server may collect existing text characters, which may include commonly used chinese words, phrases, popular expressions, emoticons, and the like, over a network or through manual input. After the existing text characters are collected, the server establishes the corresponding relation between the existing text characters and the code characters according to a preset rule, and therefore a dictionary database is generated. And in other cases where a dictionary database already exists, the dictionary database is updated. And supplementing the newly generated dictionary database into the original dictionary database to complete the updating of the dictionary database. And after the server generates or updates the dictionary database, the dictionary database is delivered to the edge node servers of the whole network through the CDN. When the client needs to analyze the text content in the second text message, the client needs to send a dictionary database request to the edge node server according to the dictionary database. After receiving the dictionary database request sent by the client, the edge node server sends the stored dictionary database to the client, so that the client can analyze the text content in the second text message according to the dictionary database. Based on the above, it can be understood that, after the server generates or updates the dictionary database, the server may send the dictionary database to the edge node server for storage, and then clear the storage of the server, so as to avoid the capacity overload of the server under the condition that the volume occupied by the dictionary database is larger and larger. In this case, when the server needs to query the dictionary database for converting text characters in the first text message, the server sends a dictionary database request to the edge node server to retrieve the dictionary database stored in the edge node server.
In addition, as described above, the server in this embodiment may also filter and filter the extracted text characters before converting the text characters into code characters. That is, a character filter table including a previously registered non-civilized word is set in advance in the server. When the text character is extracted from the first text message, the text character is filtered, that is, the text character is compared with the vocabulary in the character filter table, and whether the vocabulary corresponding to the text character exists in the character filter table is judged. If the server judges that the character filter table has words and phrases corresponding to the text characters, the extracted text characters are marked as non-civilized words and the first text message where the text characters are located is not subjected to subsequent processing. That is, the first text message is not converted to generate the second text message, nor is the first text message transmitted. Thereby avoiding the scattering of the undeniated words.
The third embodiment:
referring to fig. 3 and fig. 4, fig. 3 is a schematic flowchart illustrating a text content transmission optimizing method based on a live broadcast network system according to another embodiment of the present invention; fig. 4 is a schematic structural diagram of an embodiment of a live network system provided by the present invention. The live network system comprises a server and a client. In the embodiment shown in fig. 4, the live network system specifically includes a server, a plurality of clients, and an edge node server. It should be understood that the server, the edge node server and the client have data communication connection therebetween. In this embodiment, both the server and the client store a dictionary database. On this basis, the step of executing, by the client, the transmission optimization method according to any possible implementation manner in the first embodiment in this embodiment may specifically include the following steps:
and B1, the client acquires the text content input by the user and generates a first text message. As described in the first embodiment, the generated first text message is in the form of JSON. The input method of the user is also as described in the first embodiment, and will not be described herein.
B2, the client performs the necessary word or sentence cutting on the text content in order to extract the text characters in the first text message.
And B3, the client queries a dictionary database stored by the client according to the result of the word or sentence cutting, and searches the dictionary database for code characters corresponding to the text characters. Because the text characters and the code characters have unique corresponding mapping relation, the problem of collision of the text characters and the code characters when corresponding is avoided.
And B4, the client converts the text characters in the first text message into corresponding code characters according to the query result in the dictionary database to generate a second text message. That is, the text content in the second text message is represented in the form of code characters.
B5, the client transmits the generated second text message to the server, and the server is used for broadcasting the second text message to all clients in the live network system.
And B6, after receiving the second text message sent by the server, all the clients in the live broadcast network system analyze the second text message, and convert the code characters in the second text message back into text characters according to the dictionary database stored in the client. Thus, the text content that is still input by the user is finally displayed on the client.
Besides the steps, the method further comprises the establishing operation and the updating operation of the dictionary database. Typically, the server may collect existing text characters, which may include commonly used chinese words, phrases, popular expressions, emoticons, and the like, over a network or through manual input. After the existing text characters are collected, the server establishes the corresponding relation between the existing text characters and the code characters according to a preset rule, and therefore a dictionary database is generated. And in other cases where a dictionary database already exists, the dictionary database is updated. And supplementing the newly generated dictionary database into the original dictionary database to complete the updating of the dictionary database. And after the server generates or updates the dictionary database, the dictionary database is delivered to the edge node servers of the whole network through the CDN. When the client needs to convert or analyze the text content in the second text message, the client needs to send a dictionary database request to the edge node server according to the dictionary database. After receiving the dictionary database request sent by the client, the edge node server sends the stored dictionary database to the client, so that the client can convert or analyze the text content in the second text message according to the dictionary database. Based on the above, it can be understood that, after the server generates or updates the dictionary database, the server may send the dictionary database to the edge node server for storage, and then clear the storage of the server, so as to avoid the capacity overload of the server under the condition that the volume occupied by the dictionary database is larger and larger.
In addition, as described above, the client in this embodiment may also filter and filter the extracted text characters before converting the text characters into code characters. That is, a character filter table containing previously recorded non-civilized words is set in advance in the client. When the text character is extracted from the first text message, the text character is filtered, that is, the text character is compared with the vocabulary in the character filter table, and whether the vocabulary corresponding to the text character exists in the character filter table is judged. If yes, the extracted text characters are marked as non-civilized words, and the first text message in which the text characters marked as the non-civilized words are located is not subjected to subsequent processing. That is, the first text message containing the non-textual words is not converted to generate the second text message, nor is the first text message transmitted. Thereby avoiding the scattering of the undeniated words.
Based on the above, it can be seen that the second embodiment of the present invention is different from the third embodiment in that the conversion of the text characters in the second embodiment is performed in the server, and in the third embodiment, the conversion process is performed in the client. This is to take into account the fact that the current user terminal equipment has a varying configuration capability. The method is directly carried out in the client, so that the bandwidth requirement in the transmission process that the client uploads the text message to the server and the server sends the text message to the whole network client can be reduced, but the configuration requirement on the user terminal equipment is higher. And when the conversion process is carried out at the server, the bandwidth requirement in the transmission process from the server to the client can be reduced, and the configuration requirement of the user terminal equipment can be reduced.
The fourth embodiment:
referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of a text content transmission optimization device based on a live broadcast network system according to the present invention. In the present embodiment, a text content transmission optimization apparatus based on a live network system is provided, the live network system includes a server 20 and a client 10; wherein, the client 10 includes: a first acquiring unit 11 configured to acquire a first text message including a text input by a user; a first transmitting unit 12 for transmitting the first text message to the server; a first receiving unit 13, configured to receive a second text message sent by the server after processing; the processing by the server includes converting text characters in the first text message to code characters; a dictionary synchronizing unit 14, configured to synchronize a dictionary database stored in the server to the client; the CDN edge server is also used for pulling a dictionary database stored in the CDN edge server into the client so as to update the existing dictionary database in the client; and a code parsing unit 15, configured to parse the second text message according to a dictionary database stored in the client, so as to convert code characters in the second text message into text characters. The server 20 includes: a second obtaining unit 21, configured to obtain a first text message uploaded by a client; a server extraction unit 22 for extracting text characters in the first text message; a server conversion unit 23, configured to convert text characters in the first text message into code characters according to a dictionary database to generate a second text message; a second transmission unit 24, configured to transmit the second text message to all clients in the live network system; the dictionary updating unit 25 is used for collecting the existing text characters through network or manual input and establishing the corresponding relation between the existing text characters and the code characters according to a preset rule so as to update the dictionary database stored in the server; the existing text characters comprise words, phrases, popular lines and expression pictures. In a further embodiment, the server may further include a server filtering module 26, configured to filter and filter the text characters extracted by the server extracting unit 22 before converting the text characters into code characters, and mark text characters belonging to non-civilized words; wherein text characters marked as non-civilized words will not be subjected to character conversion operations by the server conversion unit 23.
Fifth embodiment:
referring to fig. 6, fig. 6 is a schematic structural diagram of an embodiment of a text content transmission optimization device based on a live broadcast network system according to the present invention. In the present embodiment, a text content transmission optimization apparatus based on a live network system is provided, the live network system includes a server 40 and a client 30; among them, the client 30 includes: a first acquiring unit 31 for acquiring a first text message containing a user input text; a client extraction unit 32, configured to extract text characters in the first text message; a client conversion unit 33, configured to convert text characters in the first text message into code characters according to a dictionary database to generate a second text message; a first transmitting unit 34 for transmitting the second text message to the server; a first receiving unit 35, configured to receive a second text message sent by the server after processing; a dictionary synchronizing unit 36, configured to synchronize the dictionary database stored in the server to the client; the CDN edge server is also used for pulling a dictionary database stored in the CDN edge server into the client so as to update the existing dictionary database in the client; and the code analyzing unit 37 is configured to analyze the second text message sent by the server according to the dictionary database stored in the client, so as to convert the code characters in the second text message into text characters. The server 40 includes: a second obtaining unit 41, configured to obtain a second text message uploaded by the client; a second transmission unit 42, configured to transmit the second text message to all clients in the live network system; a dictionary updating unit 43, configured to collect existing text characters through network or manual input and establish a corresponding relationship between the existing text characters and code characters according to a preset rule, so as to update a dictionary database stored in a server; the existing text characters comprise words, phrases, popular lines and expression pictures. In a further embodiment, the client may further include a server filtering module 38, configured to filter and filter the text characters extracted by the client extracting unit 32 before converting the text characters into code characters, and mark text characters belonging to non-civilized vocabulary; wherein text characters marked as non-civilized words will not be subjected to character conversion operations by the client conversion unit 33. Although the numbers used to identify components in the fourth and fifth embodiments are not identical, it should be understood that the same elements in the fourth and fifth embodiments refer to the same components. In addition, in some embodiments, all the components in the fourth embodiment and the components in the fifth embodiment may be included at the same time.
Sixth embodiment
A sixth embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, and when the computer program runs, a device in which the computer-readable storage medium is located is controlled to execute any one of the foregoing text content transmission optimization methods.
Seventh embodiment:
a seventh embodiment of the present invention provides a terminal device implementing a text content transmission optimization method, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processing, such as a text content transmission optimization method. The processor, when executing the computer program, implements the steps of the text content transmission optimization method described in any of the first embodiments above, such as step S10 shown in fig. 1.
Illustratively, the computer program may be partitioned into one or more modules that are stored in the memory and executed by the processor to implement the invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device implementing the text content transmission optimization method.
The terminal device is the server and the client in the above embodiment. The terminal device may include, but is not limited to, a processor, a memory, and a display. It will be understood by those skilled in the art that the schematic diagram is merely an example of implementing the text content transmission optimization method, and does not constitute a limitation on the text content transmission optimization method, and may include more or less components than those shown, or combine some components, or different components, for example, a terminal device implementing the text content transmission optimization method may further include an input-output device, a network access device, a bus, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor is a control center of the terminal device for implementing the text content transmission optimization method, and various interfaces and lines are used to connect various parts of the whole terminal device for implementing the text content transmission optimization method.
The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the terminal device of the text content transmission optimization method by operating or executing the computer program and/or the module stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, a text conversion function, etc.), and the like; the storage data area may store data (such as audio data, text message data, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the module of the terminal device for implementing the text content transmission optimization method can be stored in a computer readable storage medium if it is implemented in the form of software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code characters, which may be in the form of source code characters, object code characters, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code characters, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (6)
1. A text content transmission optimization method based on a live broadcast network system is characterized in that the live broadcast network system comprises a server and a client, wherein data communication is arranged between the server and the client, a dictionary database is synchronously stored between the server and the client, and then the step of synchronizing the dictionary database between the server and the client comprises the following steps:
determining the dictionary database;
transmitting the dictionary database to a CDN edge server for storage; the CDN edge server is used for issuing the dictionary database to the client when the client reports the calling request;
the text content transmission optimization method is executed by the server or the client and comprises the following steps:
acquiring a first text message containing a text input by a user, and extracting text characters in the first text message;
filtering and screening the text characters;
querying a dictionary database, determining code characters corresponding to the text characters conforming to the filtering and screening in the dictionary database, and converting the text characters conforming to the filtering and screening in the first text message into code characters to generate a second text message;
transmitting the second text message.
2. The method as claimed in claim 1, wherein the step of extracting text characters in the first text message comprises:
and performing word segmentation on the text content in the first text message, and extracting text characters in the first text message according to the word segmentation result.
3. The method of claim 1, wherein before the step of querying the dictionary database, the method further comprises:
determining the dictionary database; the method specifically comprises the following steps:
collecting the existing text characters through network or manual input, wherein the existing text characters comprise vocabularies, short sentences, popular phrases and expression pictures;
and establishing a corresponding relation between the existing text characters and the code characters according to a preset rule, and generating/updating a dictionary database.
4. The live network system-based text content transmission optimization method according to any one of claims 1 to 3, wherein the server transmits the second text message to all clients in the live network system, and the clients are configured to perform reverse parsing on the second text message according to the dictionary database to convert the code characters in the second text message back to the text characters.
5. The method of claim 4, further comprising:
the client transmits the second text message to the server; the server is used for broadcasting the second text message to all the clients in the live broadcast network system; and all the clients in the live broadcast network system are used for reversely analyzing the second text message according to the dictionary database so as to convert the code characters in the second text message back to the text characters.
6. A text content transmission optimizing device based on a live broadcast network system is characterized in that the live broadcast network system comprises a server and a client; wherein the content of the first and second substances,
the client comprises:
a first acquiring unit configured to acquire a first text message including a user input text;
a first transmitting unit, configured to transmit the first text message to the server;
the first receiving unit is used for receiving a second text message which is processed and then transmitted by the server; processing by the server includes converting text characters in the first text message to code characters;
the dictionary synchronization unit is used for synchronizing the dictionary database stored in the server to the client; the CDN edge server is also used for pulling a dictionary database stored in the CDN edge server into the client so as to update the existing dictionary database in the client;
the code analyzing unit is used for analyzing the second text message according to a dictionary database stored in the client so as to convert code characters in the second text message into the text characters;
the server includes:
the second obtaining unit is used for obtaining the first text message uploaded by the client;
a server extraction unit, configured to extract text characters in the first text message;
the server conversion unit is used for converting text characters in the first text message into code characters according to the dictionary database so as to generate a second text message;
a second transmission unit, configured to transmit the second text message to all clients in the live network system;
the dictionary updating unit is used for collecting the existing text characters through network or manual input and establishing the corresponding relation between the existing text characters and the code characters according to a preset rule so as to update the dictionary database stored in the server; the existing text characters comprise words, phrases, popular lines and expression pictures.
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