 |
To ensure that the generated contextual data is appropriate for the video, the proposed model compares the extracted script with the video's subtitle data to check and calibrate its accuracy.
The model can then be fine-tuned by tuning and cross-validating the hyper parameter to improve its performance.
These models can be incorporated into a variety of content discovery and recommendation platforms.
By using expanded metadata to provide results close to a search query and recommend videos with similar content based on the video, it solves problems with traditional search, recommendation, and censorship schemes, allowing users to explore more similar videos and clips.
|
IEEE/ICACT20240357 Slide.04
[Big Slide]