Video Description
26 papers with code • 0 benchmarks • 7 datasets
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
Benchmarks
These leaderboards are used to track progress in Video Description
Datasets
Most implemented papers
Memory-augmented Attention Modelling for Videos
We present a method to improve video description generation by modeling higher-order interactions between video frames and described concepts.
Egocentric Video Description based on Temporally-Linked Sequences
We propose a novel methodology that exploits information from temporally neighboring events, matching precisely the nature of egocentric sequences.
Predicting Visual Features from Text for Image and Video Caption Retrieval
This paper strives to find amidst a set of sentences the one best describing the content of a given image or video.
Adversarial Inference for Multi-Sentence Video Description
Among the main issues are the fluency and coherence of the generated descriptions, and their relevance to the video.
VizSeq: A Visual Analysis Toolkit for Text Generation Tasks
Automatic evaluation of text generation tasks (e. g. machine translation, text summarization, image captioning and video description) usually relies heavily on task-specific metrics, such as BLEU and ROUGE.
Delving Deeper into the Decoder for Video Captioning
Video captioning is an advanced multi-modal task which aims to describe a video clip using a natural language sentence.
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents
With the arising concerns for the AI systems provided with direct access to abundant sensitive information, researchers seek to develop more reliable AI with implicit information sources.
Identity-Aware Multi-Sentence Video Description
This auxiliary task allows us to propose a two-stage approach to Identity-Aware Video Description.
Learn to Understand Negation in Video Retrieval
We propose a learning based method for training a negation-aware video retrieval model.
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
While there have been significant gains in the field of automated video description, the generalization performance of automated description models to novel domains remains a major barrier to using these systems in the real world.