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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

Showing 8190 of 104 papers

TitleStatusHype
NarrationBot and InfoBot: A Hybrid System for Automated Video Description0
Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis0
Neural Headline Generation on Abstract Meaning Representation0
Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model0
Probabilistic Soft Logic for Semantic Textual Similarity0
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation0
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama modelsCode0
Predicting Visual Features from Text for Image and Video Caption RetrievalCode0
Describing Videos by Exploiting Temporal StructureCode0
Learn to Understand Negation in Video RetrievalCode0
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