CN113055740A - Method and system for identifying and pasting object in video - Google Patents
Method and system for identifying and pasting object in video Download PDFInfo
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- CN113055740A CN113055740A CN202010336389.2A CN202010336389A CN113055740A CN 113055740 A CN113055740 A CN 113055740A CN 202010336389 A CN202010336389 A CN 202010336389A CN 113055740 A CN113055740 A CN 113055740A
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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
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video 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
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/44016—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving splicing one content stream with another content stream, e.g. for substituting a video clip
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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
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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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/812—Monomedia components thereof involving advertisement data
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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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/8126—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts
- H04N21/8133—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts specifically related to the content, e.g. biography of the actors in a movie, detailed information about an article seen in a video program
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- Business, Economics & Management (AREA)
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- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
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Abstract
The invention discloses a method and a system for identifying and pasting objects in a video, wherein the method comprises the following steps: s1: guiding a user to upload videos containing the mirror-out of the nano product in the system; s2: intelligently analyzing the uploaded video to acquire whether a product appears in the video; s3: according to the return value of S2, carrying out whole network information retrieval and outputting; s4: correspondingly processing the video, and correspondingly embedding the material into the video to form a plurality of new videos embedded with the material; s5: the generated sharing information is combined into content convenient for fast sharing; s6: users share content to social media, social software, or other content-like media. The system comprises a video uploading sub-module, a video analyzing sub-module, an object identifying sub-module, a video processing sub-module and a video sharing sub-module. The technical scheme of the invention has the advantages of high accuracy of identifying the product types appearing in the video, high richness of implanted material forms, strong pertinence and contribution to propaganda.
Description
Technical Field
The invention relates to the technical field of video processing, in particular to a method and a system for identifying and pasting objects in a video.
Background
With the popularization of mobile terminals and the increasing speed of networks, short and fast mass flow transmission contents are gradually favored by various large platforms, fans and capital. With the appearance of the net red economy, a batch of high-quality short video platforms such as tremble, second beat, fast hand and the like gradually rise, and many people can share your point and drip with other people in the live broadcast short video because the live broadcast platform becomes the net red even, share your life interesting thing, can also push products or help people to bring goods in the video. And the operator plays the video data provided by the multimedia content provider to the user through the network live broadcast platform. Objectively, when a user watches the network live broadcast, a video picture is the main position where the user looks at, so that the video picture is the best position for putting the advertisement, and a media content provider can insert the advertisement in the video data according to the self requirement to enable the video data and the advertisement to be played alternately, thereby obtaining the advertisement income.
However, in the current video data patch advertisement, more characters and voice information are displayed, and the visual effect is poor, so that the following disadvantages occur:
1. the object is single, and the recognition subject mostly takes the human face as a detection object: in the to c field, the existing technology of implanting a patch into a video mostly takes a human face as an identification object, and the implanted patch is related to the human face and cannot accurately identify the specific pushed product model and brand;
2. video paster singleness: the prior art has the defects that the implanted patch material is single, the difference between users is small, the user is not easy to distinguish, and the propaganda is not facilitated;
3. the video paster effect is weak: most of the video patches are static pictures or dynamic pictures with weak dynamic effect, and the propaganda effect is weak;
4. the video sharing mechanism is simple: the sharing has an incentive mechanism, can not be found continuously, and is difficult to form virtuous circle;
5. the commercial value is low: a rapid and effective commodity promotion closed loop cannot be formed, and the commercial transformation is difficult;
6. short video production quality is not uniform: the quality of short video production in a small studio or an individual is not easy to control, so that the brand image is damaged;
7. the short video has low production efficiency: at present, after a large number of tail net red shot short videos are screened by an advertising company, the short videos are distributed to a small studio to be subjected to video post-processing (including advertisement implantation and the like), and the cost is huge and the period is long.
Disclosure of Invention
The invention mainly aims to provide a method and a system for identifying and pasting objects in a video, so as to solve the problems in the background technology.
In order to achieve the purpose, the object identification and surface mounting method in the video provided by the invention comprises the following steps: s1: guiding a user to upload and shoot videos containing the mirror-out of the received product in the system; s2: intelligently analyzing the uploaded video to obtain whether a product is shot in the video, if the object is judged, accurately identifying the sku model of the commodity, returning data such as shot time and position, voice content, semantics and the like of the object, and entering S3; if the corresponding commodity sku which needs to be identified does not exist, judging that the commodity sku does not exist, informing the user that no corresponding commodity exists in the video, and ending the process; s3: according to the return value of S2, carrying out whole network information retrieval and outputting; s4: correspondingly processing the video to generate a new embedded patch material, and correspondingly embedding the material into the video to form a plurality of new videos embedded with the material and other information in the forms of sharable characters, pictures, GIF pictures and the like for sharing by users; s5: the generated sharing information is combined into content (including but not limited to H5 pages, short videos and the like) convenient for fast sharing; s6: users share content to social media or other content media, or individuals and groups in social software. Preferably, the method further comprises the steps of: s7: after the content reaches the audience, the system counts the operation information of the audience; s8: the video upload and sharer will receive predetermined incentives including, but not limited to, cash, coupons, etc. Preferably, in S2, the related information of the object is identified by machine learning and deep learning algorithms, including yolo, cnn, ssd, fast-rcnn, etc., or combinations of algorithms. Preferably, the object includes a human face, a facial organ, a commodity, or other image in a video. Preferably, in S3, the full-web information includes information in the form of sharable characters, pictures, GIF pictures, and the like, and material content defined earlier. The system for recognizing and pasting the object in the video is used for implementing the method for recognizing and pasting the object in the video, and comprises the following steps: the video uploading sub-module: transmitting the video containing the mirror of the received product; a video analysis sub-module: intelligently analyzing the uploaded video; an object identification submodule: identifying an object in the video; a video processing sub-module: correspondingly processing the video and implanting corresponding patch materials; the video sharing submodule comprises: the user shares the video or other information presentation in the form of, but not limited to, the H5 page to social media, social software, or other content-like media. Preferably, the method further comprises the following steps: video propaganda submodule: propagandizing and displaying, and counting the operation information of audiences; a profit submodule: and uploading the video and sharing the video, and obtaining preset incentives including but not limited to cash, coupons and the like. Preferably, the method further comprises the following steps: a storage module: and storing the materials defined at the previous stage, the videos uploaded by the users, the videos generated by the video processing submodule, the output of the whole network information retrieval in the S3 and other shared information.
The invention relates to a method and a system for identifying and pasting objects in a video,
1. the accuracy rate of identifying the product types in the video is high; accurately identifying the sku models of various commodities by taking the commodities as objects, and selecting unique patch materials for implantation according to the sku models;
2. the dynamic effect of the video implanted patch is good, and the patch style is rich; aiming at different products, one object number is pasted, the customization degree is high, the distinguishing is easy, and the propaganda is facilitated;
3. the product introduction page is dynamically presented, the visual impulse is strong, and the user perception effect is good;
4. the method has better monitoring effect on the uploading and sharing of the content, and is beneficial to continuous and effective uploading and sharing behaviors.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts. Fig. 1 is a flowchart of a method for identifying and pasting an object in a video according to an embodiment of the present invention; fig. 2 is a schematic block diagram of an object recognition and patch system in video according to an embodiment of the present invention. The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
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. It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly. In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
In the embodiment of the present invention, referring to fig. 1, the method for identifying and pasting objects in a video includes the following steps: s1: guiding a user to upload and shoot videos containing the mirror-out of the received product in the system; such as a video of a product held in a netpage red hand. S2: intelligently analyzing the uploaded video to obtain whether a product appears in the video, if so, accurately identifying the sku of the commodity, and selecting a unique patch material for implantation according to the sku; if the object is judged, accurately identifying the sku model of the commodity, including the brand, model, configuration, grade, flower color, packaging capacity, unit, production date, quality guarantee period, use, price, production place and the like of the commodity, or judging the object in the video (such as human face, facial organs, commodity or other images in the video, then returning the data of the object such as the time and position of taking a mirror, voice content, semantics and the like, and entering S3;
in this embodiment, the full-network information includes information in the form of sharable text, pictures, GIF pictures, and the like, and material content defined at an earlier stage, where the material content includes dynamic or static text, images, and the like. It should be noted that the system may update the tile material manually or automatically as needed to ensure that the tile material is up-to-date, enhancing audience interest. S4: correspondingly processing the video to generate a new embedded patch material, and correspondingly embedding the material into the video to form a plurality of new videos embedded with the material and other information in the forms of sharable characters, pictures, GIF pictures and the like for sharing by users; s5: the generated sharing information comprises materials screened after the full-network search, and content (including but not limited to H5 pages, short videos and the like) convenient to share quickly is formed; such as JPG, BMP, etc., or animation files such as GIP, SWF, etc., or multi-object files such as AVI, MPEG, etc., or H5, applet pages, etc. S6: the user shares the content with the tile materials to social media or other content media, or individuals and groups in social software, directly or in H5, small programs and the like. Example 1. in a video file, a bottle of ABC brand yoghurt is held in a red hand of a net, during the process of playing a video, relevant information of the ABC brand yoghurt, including the brand, name, nutritional ingredients, production place and the like of the ABC brand yoghurt, is identified through machine learning and deep learning algorithms, including a plurality of algorithms or combinations of algorithms, such as yolo, cnn, ssd, fast-rcnn and the like, and then corresponding patch materials, such as sweet and sour personalized expressions, word dynamics diagrams of 'wove, too good' and the like, are selectively implanted into the video by a system, so that a new video with implanted materials with promotional effects is formed and then shared.
Embodiment 2. for videos of tile materials, after reaching the audience, the user may browse, share, or forward, or may directly click a commodity connection to purchase, the system may automatically count operation information of the audience, such as browsing times, video playing times, purchasing information, sharing information, forwarding information, and the like, and the system may automatically give a preset reward, such as a virtual or physical incentive, such as points, red packages, cash, coupons, gifts, activity denominations, level promotion, and the like.
The technical scheme of the invention is as follows: 1. the invention can automatically add content materials with high quality, beautiful design and strong visual impact and video special effects to own video, directly obtain a product page related to the video content and obtain preset incentive according to the conversion effect of the page. 2. The E-commerce platform can be used for quickly generating the activity pages in various forms in batches with high quality and low cost by using the method, quickly trial and error are realized, the iteration efficiency is effectively improved, and the method is favorable for quickly establishing product cognition and expanding users. 3. The short video platform can be utilized to ensure that the manufacturing effect of kol business tickets is stable and uniform, powerfully ensure the business ticket quantity of the platform, promote the healthy development of the platform business environment, enhance the confidence of advertisers and improve the image of the platform. 4. The off-line physical store owner can expand the possibility of on-line sales, broaden commercial channels and expand user groups by utilizing the off-line flow advantage through the invention. 5. The community operator can distribute the content by the invention and utilize the private domain flow to guide. The content (video, file and the like) generated by the user by utilizing the method has the advantages of high quality, high speed, low cost and the like.
The embodiment also provides a system for recognizing and mounting an object in a video, which is used for implementing the method for recognizing and mounting an object in a video, and with reference to fig. 2, the method includes: the video uploading sub-module: transmitting the video containing the mirror of the received product; storing the submodule: and storing the materials defined at the previous stage, the videos uploaded by the users, the videos generated by the video processing submodule, the output of the whole network information retrieval in the S3 and other shared information. A video analysis sub-module: intelligently analyzing the uploaded video; and acquiring and returning data such as whether the product is shot, the shot product, shot time and position, voice content, semantics and the like in the video. An object identification submodule: identifying an object in the video; the method comprises the steps of identifying objects such as human faces, facial organs, commodities or other images in videos; a video processing sub-module: and correspondingly processing the video to generate a new embedded patch material, and correspondingly embedding the material into the video to form a plurality of new videos embedded with the material and other information in the forms of sharable characters, pictures, GIF pictures and the like for sharing by users. The video sharing submodule comprises: the user shares the video to social media or other content media, or individuals and groups in social software.
In the system of this embodiment, the method further includes: video propaganda submodule: after the content reaches the audience, the operation information (including but not limited to page browsing, video playing, purchasing of goods, etc.) of the audience is counted. A profit submodule: and uploading the video and sharing the video to obtain preset motivation. The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. The method for identifying and pasting the object in the video is characterized by comprising the following steps:
s1: guiding a user to upload and shoot videos containing the mirror-out of the received product in the system;
s2: intelligently analyzing the uploaded video to obtain whether a product appears in the video,
if the object is judged, accurately identifying the sku model of the commodity, returning data such as the time and the position of the object when the commodity goes out of the mirror, the voice content, the semantics and the like, and entering S3;
if the corresponding commodity sku which needs to be identified does not exist, judging that the commodity sku does not exist, informing the user that no corresponding commodity exists in the video, and ending the process;
s3: according to the return value of S2, carrying out whole network information retrieval and outputting;
s4: correspondingly processing the video to generate a new embedded patch material, and correspondingly embedding the material into the video to form a plurality of new videos embedded with the material and other information in the forms of sharable characters, pictures, GIF pictures and the like for sharing by users;
s5: the generated sharing information forms content which is convenient to share quickly, and the content includes but is not limited to H5 pages, short videos and the like;
s6: users share content to social media or other content media, or individuals and groups in social software.
2. A method of object recognition and tiling in a video as claimed in claim 1, said method further comprising the steps of:
s7: after the content reaches the audience, the system counts the operation information of the audience;
s8: the video upload and sharer will receive predetermined incentives including, but not limited to, cash, coupons, etc.
3. The method for object recognition and tiling in video according to claim 1, wherein in S2, the related information of the object is recognized through machine learning and deep learning algorithms, including yolo, cnn, ssd, fast-rcnn, etc. or combinations of algorithms.
4. A method for object recognition and placement in video as claimed in claim 1 or 3 wherein said object comprises a human face, facial organs, merchandise or other images in video.
5. The method for object recognition and tile attachment in video frequency of claim 1, wherein in S3, the full network information includes information in the form of sharable text, pictures, GIF pictures, etc. and material contents defined earlier.
6. The video object identification and patching system is used for implementing the video object identification and patching method according to any one of claims 1 to 5, and comprises the following steps:
the video uploading sub-module: transmitting the video containing the mirror of the received product;
a video analysis sub-module: intelligently analyzing the uploaded video;
an object identification submodule: identifying an object in the video;
a video processing sub-module: correspondingly processing the video and implanting corresponding patch materials;
the video sharing submodule comprises: the user shares the video or other information presentation in the form of, but not limited to, the H5 page to social media, social software, or other content-like media.
7. An in-video object recognition, patch system according to claim 6, further comprising:
video propaganda submodule: propagandizing and displaying, and counting the operation information of audiences;
a profit submodule: and uploading the video and sharing the video, and obtaining preset incentives including but not limited to cash, coupons and the like.
8. An in-video object recognition, patch system according to claim 6, further comprising:
a storage module: and storing the materials defined at the previous stage, the videos uploaded by the users, the videos generated by the video processing submodule, the output of the whole network information retrieval in the S3 and other shared information.
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