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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 51–100 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
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description—0
Egocentric Video Description based on Temporally-Linked SequencesCode0
Attention-Based Multimodal Fusion for Video Description—0
Generating Video Description using Sequence-to-sequence Model with Temporal Attention—0
Hierarchical Boundary-Aware Neural Encoder for Video Captioning—0
Memory-augmented Attention Modelling for VideosCode0
Neural Headline Generation on Abstract Meaning Representation—0
SHEF-Multimodal: Grounding Machine Translation on Images—0
Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis—0
VideoMCC: a New Benchmark for Video Comprehension—0
Bidirectional Long-Short Term Memory for Video Description—0
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language—0
A Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography DetectionCode0
Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model—0
Video Description using Bidirectional Recurrent Neural NetworksCode0
TGIF: A New Dataset and Benchmark on Animated GIF DescriptionCode0
Improving LSTM-based Video Description with Linguistic Knowledge Mined from TextCode0
Vectors of Locally Aggregated Centers for Compact Video Representation—0
A Multi-scale Multiple Instance Video Description Network—0
Describing Videos by Exploiting Temporal StructureCode0
Probabilistic Soft Logic for Semantic Textual Similarity—0
Coherent Multi-Sentence Video Description with Variable Level of Detail—0
Semantic Neighborhoods as Hypergraphs—0
A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching—0
Better Exploiting Motion for Better Action Recognition—0
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