A Memory Network Approach for Story-based Temporal Summarization of 360° Videos
We address the problem of story-based temporal summarization of long 360{\deg} videos. We propose a novel memory network model named Past-Future Memory Network (PFMN), in which we first compute the scores of 81 normal field of view (NFOV) region proposals cropped from the input 360{\deg} video, and then recover a latent, collective summary using the network with two external memories that store the embeddings of previously selected subshots and future candidate subshots... (read more)
PDFTasks
ImageNet
YFCC100M
TVSum
VIST
Video2GIF
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Memory Network
|
Working Memory Models |