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Therefore, this study proposes a search and recommendation system by expanding metadata in videos using techniques such as shot boundary detection, speech recognition, and text mining.
The proposed method selects the main objects required by the recommendation system based on the object frequency and extracts the corresponding objects from the video frame by frame.
In addition, we extract the speech from the video separately, convert the speech to text to extract the script and apply text mining techniques to the extracted script to quantify it.
Then, we synchronize the object frequency and the transcript to create a single contextual data.
After that, we group videos and clips based on the contextual data and index them.
Finally, we utilize Shot Boundary Detection to segment videos based on their content. |
IEEE/ICACT20240357 Slide.03
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