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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 1120 of 104 papers

TitleStatusHype
Grounded Video DescriptionCode1
Identity-Aware Multi-Sentence Video DescriptionCode1
Thinking Hallucination for Video CaptioningCode1
Fine-grained Audible Video DescriptionCode1
Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7Code1
Delving Deeper into the Decoder for Video CaptioningCode1
Improving LSTM-based Video Description with Linguistic Knowledge Mined from TextCode0
A Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography DetectionCode0
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama modelsCode0
https://arxiv.org/abs/2407.00634Code0
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