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Video Description

The goal of automatic Video Description is to tell a story about events happening in a video. While early Video Description methods produced captions for short clips that were manually segmented to contain a single event of interest, more recently dense video captioning has been proposed to both segment distinct events in time and describe them in a series of coherent sentences. This problem is a generalization of dense image region captioning and has many practical applications, such as generating textual summaries for the visually impaired, or detecting and describing important events in surveillance footage.

Source: Joint Event Detection and Description in Continuous Video Streams

Papers

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Showing 51–75 of 104 papers

TitleStatusHype
Efficient data-driven encoding of scene motion using Eccentricity—0
The Role of the Input in Natural Language Video Description—0
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning—0
MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish—0
A Comprehensive Review on Recent Methods and Challenges of Video Description—0
Describing Unseen Videos via Multi-Modal Cooperative Dialog AgentsCode0
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking—0
Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering—0
VizSeq: A Visual Analysis Toolkit for Text Generation TasksCode0
Prediction and Description of Near-Future Activities in Video—0
End-to-End Video Captioning—0
Adversarial Inference for Multi-Sentence Video DescriptionCode0
A Dataset for Telling the Stories of Social Media Videos—0
Incorporating Background Knowledge into Video Description Generation—0
Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions—0
Bridge Video and Text with Cascade Syntactic Structure—0
Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data—0
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video FeaturesCode0
Interpretable Video Captioning via Trajectory Structured Localization—0
Video Description: A Survey of Methods, Datasets and Evaluation Metrics—0
Incorporating Semantic Attention in Video Description Generation—0
Integrating both Visual and Audio Cues for Enhanced Video Caption—0
Attend and Interact: Higher-Order Object Interactions for Video Understanding—0
Predicting Visual Features from Text for Image and Video Caption RetrievalCode0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
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