AI Pipeline Efficiently Solves the Problem of Cross - shot Consistency in Brand Promotional Videos

With the advancement of the digital wave, brand promotional videos play an increasingly important role in brand promotion. However, traditional production methods face many challenges. WeLinkirt's advanced AI pipeline technology has brought new breakthroughs in this field.

Industry Background and User Scenarios: In today's digital age, brand competition is becoming increasingly fierce. As an intuitive and effective promotional tool, the demand for brand promotional videos has witnessed an explosive growth. Brand owners hope to showcase their brand image, product features, and brand concepts on various platforms through high-quality promotional videos to attract more potential customers. A certain brand plans to produce a 3-minute brand promotional video for promotion on social media, official websites, and other platforms. This promotional video needs to present a rich and diverse range of scenarios and elements, including the display of brand products, the telling of brand stories, and the conveyance of brand concepts. The brand's requirement is to shorten the production cycle and reduce the production cost as much as possible while ensuring high quality.

Pain Points: Why Is It Difficult?

In the traditional brand promotional video production process, this brand faces many difficulties. In terms of character performance, characters in different shots are prone to the 'face-changing' phenomenon. In actual shooting, due to differences in shooting time, lighting, angles, and inconsistent post-processing in different shots, the appearance and expressions of characters vary significantly in different shots, seriously affecting the viewing experience of the audience. From the perspective of scene coherence, the connection between scenes is not smooth, and the coherence is poor. This is because traditional production is often carried out in stages and by scenes, lacking unified planning and coordination, resulting in an unnatural transition between scenes and a sense of fragmentation for the audience when watching.

In terms of production cycle and cost, the traditional production cycle is as long as 15 days, and the cost is high. The cost per minute of the finished video is about ¥1000, which is a considerable expense for the brand. Moreover, the production process involves multi-person collaboration, with low communication efficiency and repeated manuscript revisions. Poor communication between different departments and personnel leads to inaccurate information transmission. Each revision requires a lot of time for coordination, seriously affecting the production progress. The root cause of these problems lies in the lack of efficient technical support and unified management mechanism in traditional production methods, making it difficult to meet the brand's requirements for high-quality, high-efficiency, and low-cost production.

Technical Principles

WeLinkirt solves the above problems through the Wemio Physical AI Content Engine and the DaoAI World Model. The Wemio Physical AI Content Engine introduces three-dimensional and physical constraints into video generation. In traditional video production, lighting effects are often set and adjusted manually, which is prone to problems such as abrupt or inconsistent lighting. In the video production process of the Wemio Physical AI Content Engine, all elements follow physical laws. For example, the lighting effect is realistically simulated according to the physical environment of the scene. The change of lighting under multi-angle camera movement conforms to the actual physical situation, making the lighting effect more realistic, the spatial relationship more stable, and enhancing the realism and coherence of the video.

The DaoAI World Model, as a unified base, has the ability to understand semantics and three-dimensional space. Traditional methods have difficulty in accurately analyzing and positioning the scenes and characters in the entire video, resulting in inconsistencies between cross-shot characters and scenes. The DaoAI World Model can accurately perform semantic analysis and three-dimensional space positioning on the scenes and characters in the entire video, thus ensuring the consistency of cross-shot characters and scenes. When a character appears in different shots, the model locks its features, ensuring that there are no deviations in its appearance and actions, even when thousands of shots are connected. Through the management of the unified base, precise control of the entire video production process is achieved, improving production efficiency and quality, which has obvious advantages compared with traditional methods.

Typical Application Scenarios

• Scriptwriting Process: Traditional scriptwriting often relies on manual experience and creativity, making it difficult to quickly and accurately meet the brand's requirements. In the scriptwriting stage, WeLinkirt's intelligent agent generates suitable scripts according to the brand's needs. By analyzing a large amount of brand data and market trends, it improves the pertinence and appeal of the script. The difficulty lies in how to accurately understand the brand's intention and grasp the brand's core values and target audience.
• Storyboarding Process: Storyboard production needs to transform the script into specific pictures. The traditional method is prone to problems such as inconsistency between pictures and the script and incoherence of characters and scenes. In the storyboarding stage, WeLinkirt's intelligent agent transforms the script into specific storyboard pictures and locks characters, scenes, and costumes at the same time to ensure cross-shot consistency. The difficulty lies in how to maintain the consistency and coherence of elements in different storyboard pictures.
• Video Production Process: The traditional video production process is time-consuming, and the quality is difficult to guarantee. WeLinkirt uses the Wemio Physical AI Content Engine and the DaoAI World Model to quickly generate high-quality video segments. The difficulty lies in how to ensure the quality and realism of the video while generating it quickly.
• Video Editing Process: Traditional video editing requires a large amount of manual screening and adjustment, with low efficiency. WeLinkirt's intelligent agent performs efficient video editing to further optimize the video effect. The difficulty lies in how to edit reasonably according to the overall style and rhythm of the video and highlight the key content.

Implementation Case

A medium-sized brand enterprise hopes to enhance its brand image through high-quality brand promotional videos in the market competition. The enterprise originally used the traditional promotional video production method and faced problems such as a long production cycle, high cost, and poor cross-shot consistency. After learning about WeLinkirt's solution, it decided to give it a try. During the implementation process, WeLinkirt's team provided professional technical support and training to ensure that the enterprise could use the solution smoothly. Before the implementation, it took 15 days to produce a 3-minute promotional video, with a cost of about ¥1000 per minute, and there were obvious inconsistencies in cross-shot characters and scenes. After the implementation, the production cycle was shortened to 3 days, the cost per minute of the finished video was reduced to about ¥650, and the cross-shot consistency was significantly improved.

WeLinkirt's AI pipeline technology brings a new, efficient and consistent experience to brand promotional video production.

WeLinkirt's Solution and Products

WeLinkirt adopts an intelligent agent pipeline of scriptwriting → storyboarding → video production → video editing. In the scriptwriting stage, the intelligent agent generates suitable scripts according to the brand's needs, providing targeted creative solutions based on the brand's characteristics and market demand. In the storyboarding stage, the intelligent agent transforms the script into specific storyboard pictures and locks characters, scenes, and costumes to ensure cross-shot consistency. In the video production stage, it uses the Wemio Physical AI Content Engine and the DaoAI World Model to quickly generate high-quality video segments. In the video editing stage, the intelligent agent performs efficient video editing to further optimize the video effect. In addition, in terms of team collaboration, it supports multi-person real-time collaboration, shared credit pools, and can also reclaim the permissions of departing employees with one click, realizing project transfer and data retention, which improves the efficiency of team collaboration and data security.

Quantitative Results: After using WeLinkirt's solution, the production cycle was shortened from 15 days to 3 days, and the overall video production speed increased by 5×. The cost per minute of the finished video was reduced to about ¥650, a cost reduction of -35%. The monthly credit consumption was saved by -50%, effectively reducing the production cost. These data fully prove the significant effects of WeLinkirt's solution in improving production efficiency and reducing costs.

This article was generated by AI. Customer cases are simulated scenarios based on real product capabilities and figures are illustrative; see product pages for official benchmarks.