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Ad-hoc video search

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Benchmarks

TRECVID-AVS19 (V3C1)

결과 2개

TRECVID-AVS20 (V3C1)

결과 1개

Most implemented

Papers

On the Brittleness of CLIP Text Encoders

2025-11-06 · Allie Tran, Luca Rossetto arxiv

Multimodal co-embedding models, especially CLIP, have advanced the state of the art in zero-shot classification and multimedia information retrieval in recent years by aligning images and text in a shared representation …

Information RetrievalAd-hoc video search

Learning Partially-Decorrelated Common Spaces for Ad-hoc Video Search

2025-08-04 · Fan Hu, Zijie Xin, Xirong Li arxiv

Ad-hoc Video Search (AVS) involves using a textual query to search for multiple relevant videos in a large collection of unlabeled short videos. The main challenge of AVS is the visual diversity of relevant videos. A sim…

Ad-hoc video search

PolySmart and VIREO @ TRECVid 2024 Ad-hoc Video Search

2024-12-20 · Jiaxin Wu, Chong-Wah Ngo, Xiao-Yong Wei, Qing Li

This year, we explore generation-augmented retrieval for the TRECVid AVS task. Specifically, the understanding of textual query is enhanced by three generations, including Text2Text, Text2Image, and Image2Text, to addres…

Ad-hoc video searchLanguage ModelingLanguage ModellingLarge Language Model+1

Improving Interpretable Embeddings for Ad-hoc Video Search with Generative Captions and Multi-word Concept Bank

2024-04-09 · Jiaxin Wu, Chong-Wah Ngo, Wing-Kwong Chan

Aligning a user query and video clips in cross-modal latent space and that with semantic concepts are two mainstream approaches for ad-hoc video search (AVS). However, the effectiveness of existing approaches is bottlene…

Ad-hoc video search

Interpretable Embedding for Ad-hoc Video Search

2024-02-19 · Jiaxin Wu, Chong-Wah Ngo

Answering query with semantic concepts has long been the mainstream approach for video search. Until recently, its performance is surpassed by concept-free approach, which embeds queries in a joint space as videos. Never…

Ad-hoc video search

An overview on the evaluated video retrieval tasks at TRECVID 2022

2023-06-22 · George Awad, Keith Curtis, Asad Butt, Jonathan Fiscus 외

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-based exploitation and retrieval of informa…

Ad-hoc video searchRetrievalVideo RetrievalVideo Understanding

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