Conference paper Open Access

Attention Mechanisms, Signal Encodings and Fusion Strategies for Improved Ad-hoc Video Search with Dual Encoding Networks

Galanopoulos, Damianos; Mezaris, Vasileios

In this paper, the problem of unlabeled video retrieval using textual queries is addressed. We present an extended dual encoding network which makes use of more than one encodings of the visual and textual content, as well as two different attention mechanisms. The latter serve the purpose of highlighting temporal locations in every modality that can contribute more to effective retrieval. The different encodings of the visual and textual inputs, along with early/late fusion strategies, are examined for further improving performance. Experimental evaluations and comparisons with state-of-the-art methods document the merit of the proposed network.

Files (3.1 MB)
Name Size
icmr2020_preprint.pdf
md5:4bd02af5fbd7afd9fd7827bf95a3de67
3.1 MB Download
26
14
views
downloads
Views 26
Downloads 14
Data volume 43.8 MB
Unique views 26
Unique downloads 14

Share

Cite as