Multi-modal Transformer for Video Retrieval

07/21/2020
by   Valentin Gabeur, et al.
10

The task of retrieving video content relevant to natural language queries plays a critical role in effectively handling internet-scale datasets. Most of the existing methods for this caption-to-video retrieval problem do not fully exploit cross-modal cues present in video. Furthermore, they aggregate per-frame visual features with limited or no temporal information. In this paper, we present a multi-modal transformer to jointly encode the different modalities in video, which allows each of them to attend to the others. The transformer architecture is also leveraged to encode and model the temporal information. On the natural language side, we investigate the best practices to jointly optimize the language embedding together with the multi-modal transformer. This novel framework allows us to establish state-of-the-art results for video retrieval on three datasets. More details are available at http://thoth.inrialpes.fr/research/MMT.

READ FULL TEXT
research
12/08/2021

Everything at Once – Multi-modal Fusion Transformer for Video Retrieval

Multi-modal learning from video data has seen increased attention recent...
research
07/31/2019

Use What You Have: Video Retrieval Using Representations From Collaborative Experts

The rapid growth of video on the internet has made searching for video c...
research
04/02/2021

Language-based Video Editing via Multi-Modal Multi-Level Transformer

Video editing tools are widely used nowadays for digital design. Althoug...
research
01/23/2019

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems

We cast visual retrieval as a regression problem by posing triplet loss ...
research
05/08/2023

Joint Moment Retrieval and Highlight Detection Via Natural Language Queries

Video summarization has become an increasingly important task in the fie...
research
10/26/2022

TAMFormer: Multi-Modal Transformer with Learned Attention Mask for Early Intent Prediction

Human intention prediction is a growing area of research where an activi...

Please sign up or login with your details

Forgot password? Click here to reset