Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals. (arXiv:1901.02662v3 [cs.CV] UPDATED)

Hashing has been widely applied to multimodal retrieval on large-scale
multimedia data due to its efficiency in computation and storage. In this
article, we propose a novel deep semantic multimodal hashing network (DSMHN)
for scalable image-text and video-text retrieval. The proposed deep hashing
framework leverages 2-D convolutional neural networks (CNN) as the backbone
network to capture the spatial information for image-text retrieval, while the
3-D CNN as the backbone network to capture the spatial and temporal information
for video-text retrieval. …

arxiv cv multimodal network semantic text video