Dual-position multi-screen integrated live broadcast control method and live broadcast control system

Abstract

The application relates to a double-machine-position multi-screen integrated live broadcast control method and a live broadcast control system. The method is based on a live broadcast control system, the live broadcast control system comprises a main control processor, an auxiliary processor, a recording device and multiple displays, and the method comprises the following steps: the main control processor receives a host demonstration video, combines the host demonstration video with initial background data to generate an initial live broadcast video, and then the main control processor sends the initial live broadcast video to a specified network address; the main control processor receives live broadcast process information input by a user, and generates a live broadcast process prompt video from the live broadcast process information; the auxiliary processor receives the initial live broadcast video sent by the main control processor, and obtains feedback information fed back by multiple audiences from the specified network address; and the auxiliary processor combines the initial live broadcast video and the multiple feedback information to generate a real-time live broadcast video corresponding to a current live broadcast room, and controls two displays to display the real-time live broadcast video and the live broadcast process prompt video respectively.

Description

Technical Field

[0001] This application relates to the field of live streaming technology, and in particular to a dual-camera, multi-screen integrated live streaming control method and a live streaming control system. Background Technology

[0002] With the rapid development of the short video and live streaming industries, various new information exchange methods, such as cultural live streaming analysis, entertainment live streaming, and live streaming e-commerce, have emerged.

[0003] Generally speaking, live streamers on various online platforms can broadcast via mobile phone or computer. The back-end of the live stream has limited operability and is mostly used to enhance beauty effects. They combine the streamer's influence and professional skills to create a lively atmosphere in the live stream.

[0004] However, it is quite difficult for new streamers to create a lively atmosphere in the live broadcast room solely through their own influence and professional skills. New streamers often find it difficult to explain multiple products clearly or express their views clearly when facing multiple viewers in the live broadcast room. Summary of the Invention

[0005] To facilitate the livestreamer in clearly introducing multiple product information, this application provides a dual-camera, multi-screen integrated livestream control method and a livestream control system.

[0006] Firstly, this application provides a dual-camera, multi-screen integrated live streaming control method, employing the following technical solution:

[0007] A dual-camera, multi-screen integrated live streaming control method, the method being based on a live streaming control system, the live streaming control system including a main control processor, an auxiliary processor, a recording device, and multiple displays, the method comprising:

[0008] The main control processor receives the broadcaster's demonstration video recorded by the recording device, and combines the broadcaster's demonstration video with preset initial background data to generate an initial live video;

[0009] The main control processor sends the initial live video to the designated network address in real time;

[0010] The main control processor receives the live streaming process information input by the user and generates a live streaming process prompt video based on the live streaming process information;

[0011] The auxiliary processor receives the initial live video sent by the main control processor and obtains feedback information from multiple viewers from a specified network address;

[0012] The auxiliary processor combines the initial live video and multiple feedback messages to generate a real-time live video corresponding to the current live room, and controls the two displays to show the real-time live video and the live process prompt video respectively.

[0013] By adopting the above technical solution, in order to facilitate the broadcaster in clearly introducing multiple product information, the main control processor in the live broadcast control system receives the broadcaster's demonstration video and live broadcast process information. Furthermore, the main control processor generates an initial live broadcast video from the broadcaster's demonstration video and uploads it to a designated network address. At the same time, the broadcaster can observe the real-time live broadcast video and the live broadcast process prompt video on two monitors corresponding to the auxiliary processor, which makes it easier to guide the broadcaster in clearly introducing multiple product information.

[0014] Optionally, the live stream process prompt video includes multiple live stream prompt video segments;

[0015] The auxiliary processor controls the two displays to show the live video and the live stream flow prompt video, including:

[0016] The auxiliary processor captures live image and audio information from the live video stream.

[0017] The auxiliary processor selects the corresponding target live broadcast prompt video segment from the live broadcast prompt video based on the live broadcast image information and live broadcast audio information;

[0018] The auxiliary processor controls one of the displays to play live video in real time, and controls the other display to play the current target live video prompt segment.

[0019] By adopting the above technical solution, the auxiliary processor captures the target live broadcast prompt video segment corresponding to the real-time live video. At the same time, the auxiliary processor controls two displays to synchronously display the real-time live video and the corresponding target live broadcast prompt video segment, so that the broadcaster can be guided in real time during the live broadcast, increasing the difficulty for the broadcaster to grasp the overall rhythm of the live broadcast.

[0020] Optionally, the main control processor pre-stores a background database, which includes multiple live background data, and there is a one-to-one mapping relationship between the multiple live prompt video segments and the multiple live background data.

[0021] After the auxiliary processor filters out the corresponding target live broadcast prompt video segment from the live broadcast prompt video, it further includes:

[0022] The auxiliary processor sends the target live video prompt segment to the main control processor in real time.

[0023] The main control processor matches the target live background data corresponding to the target live prompt video segment from the background database;

[0024] The main control processor updates the initial live video in real time based on the target live background data.

[0025] By adopting the above technical solution, during the live broadcast, the main control processor has information on the target live broadcast prompt video segment and matches it with the target live broadcast background data corresponding to the current live broadcast environment, thereby enhancing the live broadcast effect.

[0026] Optionally, the main control processor pre-stores multiple anchor facial feature data and a live streaming habit database. The live streaming habit database pre-stores multiple anchor introduction habits, and there is a one-to-one mapping relationship between the anchor introduction habits and the anchor facial feature data. The method further includes:

[0027] The main control processor captures the current facial feature data of the anchor from the initial live video and matches the target anchor facial feature data corresponding to the current facial feature data.

[0028] The main control processor matches the target anchor's introduction habits based on the target anchor's facial feature data;

[0029] The main control processor queries relevant product-related basic knowledge information from the network based on the target anchor's introduction habits and the currently playing target live broadcast prompt video segment, and sends the product-related basic knowledge information to the auxiliary processor;

[0030] The auxiliary processor controls one of the displays to synchronously play the product-related basic knowledge information.

[0031] By adopting the above technical solution, during the live broadcast, the main control processor can query basic product-related knowledge information from the network based on the different live broadcast methods and habits of each anchor. This includes information such as the origin of the product's raw materials, the product's cultural background, and the product's efficacy. This enhances the credibility of the anchor's product introduction during the live broadcast.

[0032] Optionally, the anchor's introduction habits include a habitual introduction process and habitual introduction types;

[0033] The main control processor, based on the target anchor's introductory habits and the currently playing target live stream prompt video segment, queries the network for relevant product-related basic knowledge information, including:

[0034] The main control processor extracts the product name from the target live broadcast prompt video segment and queries the corresponding target product information from the preset product information database;

[0035] The main control processor extracts key words from the target product information;

[0036] The main control processor retrieves multiple product knowledge information segments from the network based on the advantageous phrases and the habitual descriptions.

[0037] The main control processor, according to the custom introduction process, arranges multiple product knowledge information segments to generate product-related basic knowledge information.

[0038] By adopting the above technical solution, when introducing relevant product information, the main control processor can identify the advantages of the product being introduced compared to other similar products. It can also arrange the product's advantages to generate basic product-related information, so that the host can introduce the product from the perspective of its advantages.

[0039] Optionally, the main control processor extracts advantageous keyword phrases from the target product information, including

[0040] The main control processor extracts multiple product representative phrases from the target product information;

[0041] The main control processor searches for similar product information from the network and extracts similar product information and similar representative phrases corresponding to multiple product representative phrases;

[0042] The main control processor compares the product representative terms with the corresponding similar representative terms, and marks multiple product representative terms as advantageous terms based on the comparison results.

[0043] By adopting the above technical solution, the product representative phrase used to represent a certain feature of the product is compared with the same representative phrase of similar products, thereby enhancing the reliability of the selection of advantages.

[0044] Optionally, the main control processor has multiple preset word group classification identifiers and comparison rules corresponding to the multiple word group classification identifiers, and each of the multiple product representative words carries a corresponding classification identifier;

[0045] The main control processor compares the product representative terms with the corresponding similar representative terms, including:

[0046] The main control processor matches the corresponding target comparison rules based on the product representative phrases;

[0047] The main control processor compares the product representative phrase with similar representative phrases based on the target comparison rule.

[0048] Secondly, this application provides a live streaming control system, which adopts the following technical solution:

[0049] A live streaming control system includes a main control processor, and the live streaming control system also includes an auxiliary processor and multiple displays, wherein:

[0050] The main control processor is used to receive the broadcaster demonstration video recorded by the recording device, and combine the broadcaster demonstration video with preset initial background data to generate an initial live video;

[0051] The main control processor is used to send the initial live video to a designated network address in real time;

[0052] The main control processor is used to receive live streaming process information input by the user and generate a live streaming process prompt video based on the live streaming process information.

[0053] The auxiliary processor is used to receive the initial live video sent by the main control processor and obtain feedback information from multiple viewers from a specified network address.

[0054] The auxiliary processor is used to combine the initial live video and the audience feedback information to generate a real-time live video corresponding to the current live room, and to control the two displays to display the real-time live video and the live process prompt video respectively.

[0055] Thirdly, this application provides a main control processor, which adopts the following technical solution:

[0056] A main control processor includes a processor and a memory. The memory stores at least one instruction, at least one program, a code set, or an instruction set. The at least one instruction, the at least one program, the code set, or the instruction set are loaded and executed by the processor to achieve the processing of the main control processor in the dual-camera multi-screen integrated live broadcast control method as described in the first aspect.

[0057] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0058] A computer-readable storage medium storing at least one instruction, at least one program, a code set, or an instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the processing of the main control processor in the dual-camera multi-screen integrated live broadcast control method as described in the first aspect.

[0059] In summary, this application includes at least one of the following beneficial technical effects:

[0060] To facilitate the broadcaster's clear introduction of multiple product information, the main control processor in the live broadcast control system receives the broadcaster's demonstration video and live broadcast process information. Furthermore, the main control processor generates an initial live broadcast video from the broadcaster's demonstration video and uploads it to a designated network address. At the same time, the broadcaster can observe the real-time live broadcast video and the live broadcast process prompt video on two monitors corresponding to the auxiliary processor, which makes it easier to guide the broadcaster to clearly introduce multiple product information.

[0061] The auxiliary processor captures the target live video prompt segment corresponding to the live video. At the same time, the auxiliary processor controls two displays to synchronously display the live video and the corresponding target live video prompt segment, so that the broadcaster can be guided in real time during the live broadcast, increasing the difficulty for the broadcaster to grasp the overall rhythm of the live broadcast.

[0062] During the live stream, the main control processor, taking into account the different live streaming styles and habits of each host, searches the internet for basic product-related knowledge information, such as the origin of the raw materials, the cultural background of the product, and the efficacy of the product, in order to enhance the credibility of the host's product introduction during the live streaming sales process. Attached Figure Description

[0063] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0064] Figure 1 This is a structural block diagram of a live streaming control system provided in an embodiment of this application.

[0065] Figure 2 This is a flowchart illustrating a dual-camera, multi-screen integrated live streaming control method provided in an embodiment of this application.

[0066] Figure 3 This is a schematic diagram of an auxiliary processor controlling two displays, provided in an embodiment of this application.

[0067] Figure 4 This is a flowchart illustrating a process for generating product-related basic knowledge information based on the livestreaming habits of a broadcaster, as provided in an embodiment of this application.

[0068] Figure 5 This is a flowchart illustrating a process for querying product-related basic knowledge information provided in an embodiment of this application.

[0069] Figure 6This is a structural block diagram of a main control processor provided in an embodiment of this application. Detailed Implementation

[0070] To make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings 1-6.

[0071] This application provides a dual-camera, multi-screen integrated live streaming control method. This method can be applied to a live streaming control system, and the framework structure of the live streaming control system can be as follows: Figure 1 As shown, the live streaming control system can consist of a main control processor, an auxiliary processor, a recording device, and multiple displays. The execution entity of this method can be the main control processor and the auxiliary processor in the live streaming control system, and is further implemented with the assistance of the recording device and multiple displays. This application embodiment uses the information interaction between the main control processor and the network platform during the live streaming product promotion process as an example for illustration. Other situations are similar and will not be described in detail.

[0072] The following will describe the specific implementation methods. Figure 2 The processing flow shown is explained in detail below:

[0073] Step 201: The main control processor receives the broadcaster's demonstration video recorded by the recording device and combines the broadcaster's demonstration video with the preset initial background data to generate the initial live video.

[0074] In practice, during the live-streaming sales process, the main control processor first receives the live-streaming demonstration video recorded by the recording device. This demonstration video is simply video recorded by the recording device without image optimization processing. Next, the main control processor combines the live-streaming demonstration video with preset initial background data to generate the initial live-streaming video. This initial background technology can be a pre-defined live-streaming scene background. If no such background is preset in the main control processor, the initial live-streaming video is simply the live-streaming demonstration video.

[0075] Step 202: The main control processor sends the initial live video to the designated network address in real time.

[0076] In practice, the main control processor sends the initial live video to a designated network address, which can be the live streaming platform.

[0077] Step 203: The main control processor receives the live streaming process information input by the user and generates a live streaming process prompt video based on the live streaming process information.

[0078] In implementation, the main control processor receives live streaming process information input by the user. This information should at least include the product types introduced one by one in each live stream and the duration of each product's live stream. The main control processor then converts this information into a live streaming process prompt video. It's important to note that this prompt video can be either a text-only video or a video with simple dynamic descriptions.

[0079] Step 204: The auxiliary processor receives the initial live video sent by the main control processor and obtains feedback information from multiple viewers from the specified network address.

[0080] In implementation, the auxiliary processor receives the initial live video sent by the main control processor. At the same time, the auxiliary processor obtains feedback information from multiple viewers from a specified network address in real time. This allows the auxiliary processor to combine the initial live video with the multiple feedback information. The feedback information can be inserted into the initial live video process as bullet comments. Thus, when the auxiliary processor controls the display to play the initial live video carrying multiple feedback information, it can enhance the interaction between the broadcaster and the audience.

[0081] Step 205: The auxiliary processor combines the initial live video and multiple feedback messages to generate a real-time live video corresponding to the current live room, and controls two monitors to display the real-time live video and the live process prompt video respectively.

[0082] In implementation, the auxiliary processor combines the initial live video and real-time feedback information, inserting it into the initial live video as bullet comments to generate the real-time live video. Then, the auxiliary processor controls two monitors to play the real-time live video and the live broadcast process prompt video, so that the host can observe the live broadcast process information simultaneously during the live broadcast, thereby guiding the host to clearly introduce multiple product information.

[0083] Optionally, the live stream flow prompt video includes multiple live stream prompt video segments. In step 205, there may also be... Figure 3 The specific operating procedure for handling this is as follows:

[0084] Step 301: The auxiliary processor captures live image information and live audio information from the live video.

[0085] In practice, after generating live video, the auxiliary processor captures live image and audio information from the live video, so that the auxiliary processor can analyze the product being marketed based on the live image and audio information.

[0086] Step 302: The auxiliary processor selects the corresponding target live prompt video segment from the live prompt video based on the live image information and live audio information.

[0087] In practice, the auxiliary processor can analyze the live image and audio information to determine the product that the host is currently promoting. Then, the auxiliary processor matches the target live prompt video segment from the live prompt video based on the product being promoted, thereby improving the accuracy of the correspondence between the product being promoted and the prompt live video segment.

[0088] Step 303: The auxiliary processor controls one of the displays to play the live video in real time, and controls the other display to play the current target live prompt video segment.

[0089] In practice, after the auxiliary processor selects the corresponding target prompt video segment, it controls two displays to play the target live prompt video segment and the real-time live video respectively. This allows the host to fully showcase the advantages of the product to the live audience through the live prompt video segment during the live broadcast.

[0090] Optionally, the main control processor pre-stores a background database, which includes multiple live background data sets. There is a one-to-one mapping relationship between the multiple live prompt video segments and the multiple live background data sets. After step 302, the following processing method also exists, and the specific operation flow is as follows:

[0091] The auxiliary processor sends the target live video clip to the main control processor in real time.

[0092] The main control processor matches the target live stream background data corresponding to the target live stream prompt video segment from the background database;

[0093] The main control processor updates the initial live video in real time based on the target live background data.

[0094] In implementation, the auxiliary processor sends the target live stream prompt video segment to the main control processor in real time. Upon receiving the target live stream prompt video segment, the main control processor processes it and matches the corresponding live stream background data from the background database. This background data can be referred to as the target live stream background data. Next, the main control processor replaces the initial background data with the target live stream background data and combines it with the lead actor's demonstration video to update the live stream background of the initial live stream, enhancing the viewer's immersion during the live stream.

[0095] Optionally, the main control processor pre-stores multiple anchor facial feature data and a live streaming habit database. The live streaming habit database pre-stores multiple anchor introduction habits, and there is a one-to-one mapping relationship between the anchor introduction habits and the anchor facial feature data. In this application, it is also possible to perform, for example... Figure 4The specific operating procedure for handling this is as follows:

[0096] Step 401: The main control processor captures the current facial feature data of the anchor from the initial live video and matches the target anchor's facial feature data corresponding to the current facial feature data.

[0097] In practice, the main control processor captures the current facial feature information of the streamer from the currently uploaded initial live video. Then, the main control processor matches the streamer facial feature information corresponding to the current facial feature information from multiple pre-stored streamer facial feature information. The streamer facial feature information here can be called the target streamer facial feature information.

[0098] Step 402: The main control processor matches the target anchor's introduction habits based on the target anchor's facial feature data.

[0099] In implementation, the main control processor matches the target streamer's facial feature data from the live streaming habit database to determine the corresponding streamer's live streaming introduction habits. These streamer introduction habits can be referred to as the target streamer's live streaming introduction habits. If the live streaming habit database does not contain corresponding target streamer facial feature data, the main control processor generates a "not yet created" message and sends it to the auxiliary processor. The auxiliary processor controller has a monitor that displays the message via text or other means.

[0100] Step 403: Based on the target anchor's introduction habits and the target live broadcast prompt video segment currently being played, the main control processor queries relevant product-related basic knowledge information from the network and sends the product-related basic knowledge information to the auxiliary processor.

[0101] In practice, the main control processor receives the host's introduction of habits and the currently playing live video clip to generate relevant query terms. Then, the main control processor queries the network for relevant product-related basic knowledge information through the relevant terms, and then sends the product-related basic knowledge information to the auxiliary processor.

[0102] For example, the host's introduction routine includes a product introduction process and standard product introduction types, from the product's name, origin, efficacy, related cultural background, to its price. Simultaneously, the main control device can identify the product currently being introduced from the target live stream prompt video segment. Next, the main control processor uses the product's basic information to search the internet for related efficacy, cultural background, and other information. Then, it generates product-related basic knowledge information according to the product introduction process, allowing viewers to clearly understand the product's relevant information. Furthermore, the search for product-related basic knowledge information should include, but is not limited to, the actual product being introduced. The main control device can also pre-search for product-related basic knowledge information based on the host schedule entered by staff, and verify the host's identity during the live stream. For hosts with incorrect verification, the product-related basic knowledge information is updated based on the current situation.

[0103] Step 404: The auxiliary processor controls one of the displays to synchronously play product-related basic knowledge information.

[0104] During implementation, the auxiliary processor controls the display that plays live video prompts and synchronizes basic product knowledge information to enhance the professionalism of the host when introducing the product.

[0105] Optionally, the host's introduction of habits may include a habit introduction process and habit introduction types. In step 403, there may also be... Figure 5 The specific handling procedure is as follows:

[0106] Step 501: The main control processor extracts the product name from the target live broadcast prompt video segment and queries the corresponding target product information from the preset product information database.

[0107] In implementation, the main control processor arbitrarily selects one of several live broadcast prompt video segments that have not yet been played or are currently playing. This live broadcast prompt video segment can be referred to as the target live broadcast prompt video segment. For clarity, this application uses the product currently being introduced by the broadcaster as an example.

[0108] The main control processor extracts the product name of the product being promoted by the current host from the target live broadcast prompt video segment. Then, the main control processor queries the product information corresponding to the product name from the preset product information database. This product information can be referred to as the target product information.

[0109] Step 502: The main control processor extracts key words from the target product information.

[0110] During implementation, the main control processor extracts the advantageous terms that the currently promoted product has over similar products on the market from the target product information, such as price, quality, and taste.

[0111] Step 502: The main control processor retrieves multiple product knowledge information segments from the network based on the advantageous terms and habitual descriptions of the product categories.

[0112] In implementation, the main control processor generates multiple search terms from advantageous keyword queries and habitual descriptions of categories. Then, it queries and obtains multiple product knowledge information segments from the search terms, such as the regular price of online related products, the relevant cultural background of online products, and the quality of online products.

[0113] Step 504: The main control processor follows a familiar process, arranging multiple product knowledge information segments to generate product-related basic knowledge information.

[0114] During implementation, the main control processor arranges multiple product knowledge information segments to generate product-related basic knowledge information according to the usual presentation process, so as to adapt to the anchor's habitual explanation rhythm and enhance the anchor's comfort during the product promotion process.

[0115] Optionally, in step 502, the following processing also exists, and the specific operation flow is as follows:

[0116] The main control processor extracts multiple product representative terms from the target product information;

[0117] The main control processor searches for information on similar products from the network and extracts the information on similar products and the corresponding representative phrases for multiple products.

[0118] The main control processor compares the product representative terms with the corresponding similar representative terms, and marks multiple product representative terms as advantageous terms based on the comparison results.

[0119] In implementation, the main control processor extracts multiple representative product terms from the target product information. This can be achieved by comparing and extracting terms using preset extraction methods in the main control processor, such as preset terms like price and quality. Then, the main control processor searches the internet for information on similar products, and further extracts corresponding representative terms from these similar product information. For example, for infant formula, it can search the internet for other brands of infant formula with high current sales volume.

[0120] Furthermore, the main control processor compares the product's representative terms with corresponding similar representative terms. For example, if the product's representative term is price, the price of the currently introduced product is compared with the prices of similar products. If the price of the currently introduced product is better than the price of similar products, the product's representative term is marked as an advantageous term, thus making it easier for the host to highlight the product's advantages during the product introduction process.

[0121] Optionally, the main control processor has multiple preset word group classification identifiers and corresponding comparison rules. Each of the multiple product representative words carries a corresponding classification identifier. In the process of the main control processor comparing the product representative words with the corresponding similar representative words, the following processing also exists, and the specific operation flow is as follows:

[0122] The main control processor matches the corresponding target comparison rules based on the product's representative terms;

[0123] The main control processor compares the product's representative terms with similar representative terms based on the target comparison rules.

[0124] In implementation, when the main control processor compares the product's representative terms with similar representative terms, it matches the product's representative terms with a corresponding comparison rule, which can be called the target comparison rule. Then, the main control processor compares the product's representative terms with similar representative terms according to the target comparison rule. For example, if the product's representative term is price, and the target comparison rule is that lower price is advantageous, then the main control processor will compare the product's representative terms with similar representative terms to find the product with the lower price.

[0125] Based on the same concept, this application also discloses a live streaming control system, including a main control processor, and the live streaming control system further includes an auxiliary processor and multiple displays, wherein:

[0126] The main control processor is used to receive the broadcaster's demonstration video recorded by the recording device and combine the broadcaster's demonstration video with the preset initial background data to generate the initial live video;

[0127] The main control processor is used to send the initial live video to the specified network address in real time;

[0128] The main control processor is used to receive live streaming process information input by the user and generate live streaming process prompt videos based on the live streaming process information;

[0129] The auxiliary processor is used to receive the initial live video sent by the main control processor and obtain feedback information from multiple viewers from a specified network address.

[0130] The auxiliary processor combines the initial live video and audience feedback to generate a real-time live video corresponding to the current live room, and controls two monitors to display the real-time live video and the live process prompt video respectively.

[0131] Optional, auxiliary processor, specifically used for:

[0132] Capture live image and audio information from real-time live video;

[0133] Based on the live image and audio information, the corresponding target live prompt video segment is selected from the live prompt video;

[0134] Control one monitor to play live video in real time, and control the other monitor to play the current target live video prompt segment.

[0135] Optionally, the auxiliary processor in the live stream controller can also be used for:

[0136] The target live video clip is sent to the main control processor in real time.

[0137] The main control processor in the live streaming controller can also be used for:

[0138] Match the target live stream background data corresponding to the target live stream prompt video segment from the background database;

[0139] The initial live video is updated in real time based on the target live background data.

[0140] Optionally, the main processor in the live streaming controller can also be used for:

[0141] Capture the current facial feature data of the streamer from the initial live video, and match the target streamer's facial feature data corresponding to the current facial feature data;

[0142] Based on the target anchor's facial feature data, match the corresponding target anchor's introduction habits;

[0143] Based on the host's introduction of habits and the target live video segment currently being played, relevant product-related basic knowledge information is retrieved from the network and sent to the auxiliary processor.

[0144] The auxiliary processor in the live stream controller can also be used for:

[0145] Control one of the displays to synchronously display product-related basic knowledge information.

[0146] Optional, main control processor, specifically used for:

[0147] Extract the product name from the target live stream prompt video segment and query the corresponding target product information from the preset product information database;

[0148] Extract key phrases from target product information;

[0149] Based on the dominant keywords and common usage for introducing categories, multiple product knowledge information segments were retrieved from the internet;

[0150] Based on the usual introduction process, multiple product knowledge information segments are arranged to generate product-related basic knowledge information.

[0151] Optional, main control processor, specifically used for:

[0152] Extract multiple representative product terms from the target product information;

[0153] Search the internet for information on similar products and extract the corresponding representative phrases for these products.

[0154] The product's representative terms are compared with corresponding representative terms of the same category, and based on the comparison results, multiple product representative terms are marked as advantageous terms.

[0155] Optional, main control processor, specifically used for:

[0156] Based on the matching and comparison rules of product representative phrases with corresponding targets;

[0157] The product's representative terms are compared with similar representative terms based on the target comparison rule.

[0158] Figure 6 This is a schematic diagram of the main control processor provided in the embodiments of this application. The main control processor can vary significantly due to differences in configuration or performance, and may include one or more central processing units (e.g., one or more processors) and memory, and one or more storage media (e.g., one or more mass storage devices) for storing application programs or data. The memory and storage media can be temporary or persistent storage. The program stored in the storage media may include one or more modules (not shown in the figure), and each module may include a series of instruction operations on the main control processor.

[0159] The main control processor may also include one or more power supplies, one or more wired or wireless network interfaces, one or more input / output interfaces, one or more keyboards, and / or one or more operating systems.

[0160] The main control processor may include a memory and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by one or more processors. One or more programs include processing by the main control processor in the above-described dual-camera multi-screen integrated live broadcast control method.

[0161] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory.

[0162] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A dual-camera, multi-screen integrated live streaming control method, characterized in that, The method is based on a live streaming control system, which includes a main control processor, an auxiliary processor, a recording device, and multiple displays. The method includes: The main control processor receives the broadcaster's demonstration video recorded by the recording device, and combines the broadcaster's demonstration video with preset initial background data to generate an initial live video; The main control processor sends the initial live video to the designated network address in real time; The main control processor receives the live streaming process information input by the user and generates a live streaming process prompt video based on the live streaming process information; The auxiliary processor receives the initial live video sent by the main control processor and obtains feedback information from multiple viewers from a specified network address; The auxiliary processor combines the initial live video and multiple feedback messages to generate a real-time live video corresponding to the current live room, and controls the two displays to display the real-time live video and the live process prompt video respectively; The live stream process prompt video includes multiple live stream prompt video segments; The auxiliary processor controls the two displays to show the live video and the live stream flow prompt video, including: The auxiliary processor captures live image and audio information from the live video stream. The auxiliary processor selects the corresponding target live broadcast prompt video segment from the live broadcast prompt video segments based on the live broadcast image information and live broadcast audio information; The auxiliary processor controls one of the displays to play live video in real time, and controls the other display to play the current target live video prompt segment; The main control processor pre-stores multiple anchor facial feature data and a live streaming habit database. The live streaming habit database pre-stores multiple anchor introduction habits, and there is a one-to-one mapping relationship between the anchor introduction habits and the anchor facial feature data. The method further includes: The main control processor captures the current facial feature data of the anchor from the initial live video and matches the target anchor facial feature data corresponding to the current facial feature data. The main control processor matches the target anchor's introduction habits based on the target anchor's facial feature data; The main control processor queries relevant product-related basic knowledge information from the network based on the target anchor's introduction habits and the currently playing target live broadcast prompt video segment, and sends the product-related basic knowledge information to the auxiliary processor; The auxiliary processor controls one of the displays to synchronously play the product-related basic knowledge information.

2. The method according to claim 1, characterized in that, The main control processor pre-stores a background database, which includes multiple live background data. There is a one-to-one mapping relationship between the multiple live prompt video segments and the multiple live background data. After the auxiliary processor selects the corresponding target live broadcast prompt video segment from the live broadcast prompt video segments, it further includes: The auxiliary processor sends the target live video prompt segment to the main control processor in real time. The main control processor matches the target live background data corresponding to the target live prompt video segment from the background database; The main control processor updates the initial live video in real time based on the target live background data.

3. The method according to claim 1, characterized in that, The anchor's introduction habits include the habit introduction process and the types of habit introductions; The main control processor, based on the target anchor's introductory habits and the currently playing target live stream prompt video segment, queries the network for relevant product-related basic knowledge information, including: The main control processor extracts the product name from the target live broadcast prompt video segment and queries the corresponding target product information from the preset product information database; The main control processor extracts key words from the target product information; The main control processor retrieves multiple product knowledge information segments from the network based on the advantageous phrases and the habitual descriptions. The main control processor, according to the custom introduction process, arranges multiple product knowledge information segments to generate product-related basic knowledge information.

4. The method according to claim 3, characterized in that, The main control processor extracts key terms from the target product information, including The main control processor extracts multiple product representative phrases from the target product information; The main control processor searches for similar product information from the network and extracts similar product information and similar representative phrases corresponding to multiple product representative phrases; The main control processor compares the product representative phrases with the corresponding similar representative phrases, and marks multiple product representative phrases as advantageous phrases based on the comparison results.

5. The method according to claim 4, characterized in that, The main control processor has multiple preset word group classification identifiers and comparison rules corresponding to the multiple word group classification identifiers. Each of the multiple product representative words carries a corresponding classification identifier. The main control processor compares the product representative terms with the corresponding similar representative terms, including: The main control processor matches the corresponding target comparison rules based on the product representative phrases; The main control processor compares the product representative phrase with similar representative phrases based on the target comparison rule.

6. A live streaming control system, characterized in that, The live streaming control system includes a main control processor, an auxiliary processor, a recording device, and multiple displays, wherein: The main control processor is used to receive the broadcaster demonstration video recorded by the recording device, and combine the broadcaster demonstration video with preset initial background data to generate an initial live video; The main control processor is used to send the initial live video to a designated network address in real time; The main control processor is used to receive live streaming process information input by the user and generate a live streaming process prompt video based on the live streaming process information. The auxiliary processor is used to receive the initial live video sent by the main control processor and obtain feedback information from multiple viewers from a specified network address. The auxiliary processor is used to combine the initial live video and the audience feedback information to generate a real-time live video corresponding to the current live room, and to control the two displays to display the real-time live video and the live process prompt video, wherein the live process prompt video includes multiple live prompt video segments; The auxiliary processor is used to capture live image information and live audio information in real-time live video. The auxiliary processor is used to filter out the corresponding target live prompt video segment from the live prompt video segments based on the live image information and live audio information. The auxiliary processor is used to control one of the displays to play live video in real time, and to control the other display to play the current target live video prompt segment. The main control processor is used to capture the current facial feature data of the anchor from the initial live video and match the target anchor's facial feature data corresponding to the current facial feature data. The main control processor is used to match the target anchor's presentation habits based on the target anchor's facial feature data; The main control processor is used to query relevant product-related basic knowledge information from the network based on the target anchor's introduction habits and the target live broadcast prompt video segment currently being played, and send the product-related basic knowledge information to the auxiliary processor; The auxiliary processor is used to control one of the displays to synchronously play product-related basic knowledge information.

7. A main control processor, characterized in that, The main control processor includes a processor and a memory. The memory stores at least one instruction, at least one program, a code set, or an instruction set. The at least one instruction, the at least one program, the code set, or the instruction set are loaded and executed by the processor to achieve the processing of the main control processor in the dual-camera multi-screen integrated live broadcast control method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The storage medium stores at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or instruction set is loaded and executed by a processor to achieve the processing of the main control processor in the dual-camera multi-screen integrated live broadcast control method as described in any one of claims 1 to 5.

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