What Is Frame Highlights? A Video Analysis Workspace for MCN Teams

Frame Highlights is an AI video workspace for MCN teams, with a workbench, upload, tasks, a library, and a dashboard for analysis and review. It does not publish finished videos to external platforms.

Five navigation entries

Frame Highlights is the English name of 帧精彩. The tagline area reads AI 视频内容工作台. The product is a video analysis workspace for MCN teams, and the page to open is https://ajuno.xibalans.com/image-video-processing/ . Navigation contains five destinations: 工作台, 上传视频, 任务列表, 素材资产库, and 数据大屏. Those labels are the public map of the product. The workbench is where the team reads the current state. Upload video is where a new batch begins. The task list is where an existing analysis can be opened again. The asset library is where files that have already been kept can be browsed. The dashboard is where adoption over a chosen day range can be reviewed.

An MCN desk can treat those five names as the whole route. There is no extra navigation item for posting a finished video to an outside platform, and there is no navigation item for a payout. When someone asks where a clip goes after analysis, the accurate answer is the review step and then the library, not an external channel. The workbench itself is a summary of that same route: status and figures at the top, a prompt when recommended clips are still waiting, then recent tasks, recent assets, and shortcuts back to upload, the library, and the dashboard.

Any count visible on arrival describes the workspace as it is at that moment. It is a snapshot of the current workspace. It is not a standing score for every team, and it is not a forecast of views.

Header status and four workbench figures

The header shows 系统运行正常, together with the queue count and the running count. The queue count says how much work is waiting. The running count says how much work is in progress. Both numbers move as the workspace moves. Reading them once, at the start of a meeting, only records that moment. They do not promise that the next hour will finish the same number of videos, and they do not convert into views or payments.

The workbench then shows four figures. 素材总数 is the asset total. 待确认片段 means recommended clips that have not been accepted yet. 精彩采纳率 is the highlight adoption rate. 封面采纳率 is the cover adoption rate. If a percentage is on screen, it belongs to this workspace at this viewing. Another template, another day range, or another pile of videos can show a different rate. A sample figure from one visit should not be copied into a pitch as a universal result.

The pending-clip figure is the practical one for the day's work. It counts recommendations that still need a human decision. It is not a count of videos already stored as team assets, and it is not a count of posts that went live somewhere else. Until someone accepts or rejects each recommendation, those clips stay in the pending state the label describes.

The review prompt, recent tasks, and shortcuts

When recommendations are still open, the workbench says 还有待确认片段，可逐个采用或驳回. The actions next to that prompt are 立即处理 and 上传新视频. 立即处理 returns the team to the clips that still need a decision, one by one. 上传新视频 starts another upload. The sentence does not say the system will publish the accepted clips, and it does not say that accepting or rejecting creates a payment.

Recent tasks show the latest five tasks, so the newest submissions and the newest finished runs stay within reach. Recent assets show the asset side of the same workspace. Shortcuts repeat three destinations: 上传视频, 素材资产库, and 数据大屏. They match the same-named items in the main navigation. The task list remains in the main navigation for anyone who needs to open a task that is older than the five shown on the workbench.

A producer can use the top five as a morning list without treating it as a complete archive. If the fifth row is not the task they remember, the task list is the longer index. The shortcuts exist so the three most common next steps do not require hunting through the header again. None of those shortcuts leaves the Frame Highlights workspace for an outside publishing tool.

Six capabilities on the landing page

The landing page names six capabilities. The first is batch video upload. The second is analysis templates: choose a strategy by content type, and adjust weights to form a team template. The third is highlight recommendations that combine motion, audio, faces, shot density, and image quality. The fourth is multi-ratio covers in 16:9, 1:1, and 9:16. The fifth is the asset library, which keeps full videos, highlight clips, cover images, and subtitle files. The sixth is task and data review.

Read as a set, the six lines describe analysis, human review, and retention. They do not describe an external account, an automatic post, or a payout. Recommendations still need to be accepted or rejected. Covers can be selected or unselected per ratio on the task detail, where the status reads 已选定 or 已取消 for that ratio's cover. Anything outside the six lines, including a promise of views or a claim that one workspace's rates apply to every MCN team, is not part of the product as documented here.

Batch upload is the intake. Templates decide which signals matter before files are chosen. Highlight recommendations and the three cover ratios are the outputs a reviewer judges. The library is where kept files settle. The dashboard is where the team looks back at tasks, completion, assets, reuse, and the two adoption rates. That is the closed list.

The path ends in review and reuse

The stated workflow is upload video, choose a template, review results, and keep them for reuse. The upload screen is stricter about order: select a template, confirm the template, upload videos, then background analysis. Files cannot be selected until the template is confirmed. The two statements fit together. Confirmation happens before the file picker opens. After background analysis, the team still reviews. Only after that review do clips, covers, subtitles, and full videos settle as team assets.

Reuse means returning to the library, to collections, and to the dashboard. It does not mean the workspace posts the asset. An MCN team can hold an accepted clip or a selected cover for the next edit, while views, distribution, and payment stay outside Frame Highlights.

Does Frame Highlights publish videos to outside platforms?

No. Frame Highlights does not publish to external platforms. Accept, reject, save as an asset, and select a cover all remain inside this workspace.

What does the pending-clip figure mean?

待确认片段 means recommended clips that have not been accepted yet. The workbench says they can be accepted or rejected one by one. Until that happens, they are not settled team assets.