DeepAI
Log In Sign Up

Context-aware Biaffine Localizing Network for Temporal Sentence Grounding

03/22/2021
by   Daizong Liu, et al.
0

This paper addresses the problem of temporal sentence grounding (TSG), which aims to identify the temporal boundary of a specific segment from an untrimmed video by a sentence query. Previous works either compare pre-defined candidate segments with the query and select the best one by ranking, or directly regress the boundary timestamps of the target segment. In this paper, we propose a novel localization framework that scores all pairs of start and end indices within the video simultaneously with a biaffine mechanism. In particular, we present a Context-aware Biaffine Localizing Network (CBLN) which incorporates both local and global contexts into features of each start/end position for biaffine-based localization. The local contexts from the adjacent frames help distinguish the visually similar appearance, and the global contexts from the entire video contribute to reasoning the temporal relation. Besides, we also develop a multi-modal self-attention module to provide fine-grained query-guided video representation for this biaffine strategy. Extensive experiments show that our CBLN significantly outperforms state-of-the-arts on three public datasets (ActivityNet Captions, TACoS, and Charades-STA), demonstrating the effectiveness of the proposed localization framework.

READ FULL TEXT

page 4

page 8

01/02/2023

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding

Temporal sentence grounding (TSG) aims to identify the temporal boundary...
04/19/2018

To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression

Given an untrimmed video and a sentence description, temporal sentence l...
04/12/2022

Position-aware Location Regression Network for Temporal Video Grounding

The key to successful grounding for video surveillance is to understand ...
01/15/2023

Generating Templated Caption for Video Grounding

Video grounding aims to locate a moment of interest matching the given q...
03/18/2022

Local-Global Context Aware Transformer for Language-Guided Video Segmentation

We explore the task of language-guided video segmentation (LVS). Previou...
07/27/2021

Enriching Local and Global Contexts for Temporal Action Localization

Effectively tackling the problem of temporal action localization (TAL) n...
04/16/2020

Local-Global Video-Text Interactions for Temporal Grounding

This paper addresses the problem of text-to-video temporal grounding, wh...