Search Results for author:
Found 2 papers, 2 papers with code
Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames
Instead of simply modeling the frames' dependencies based on global attention, our method integrates a concentrated attention mechanism that is able to focus on non-overlapping blocks in the main diagonal of the attention matrix, and to enrich the existing information by extracting and exploiting knowledge about the uniqueness and diversity of the associated frames of the video.
Ranked #1 on
Unsupervised Video Summarization
on TvSum
Combining Global and Local Attention with Positional Encoding for Video Summarization
This paper presents a new method for supervised video summarization.
Ranked #1 on
Video Summarization
on SumMe
