DBScholar

Back to papers

Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse

Summary: Deja Vu accelerates ViT-based VideoLM query processing by learning inter-frame computation reuse via ReuseViT. Memory–compute joint compaction converts reduced FLOPs into GPU speedups, achieving up to 2.64× faster embeddings within 2% error. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hc279d59a57a5cd10
Venue
VLDB
Year
2025
Pagerank
4.9605343e-05
Overall Rank
11,372 | 23.78%
DOI
10.14778/3748191.3748195
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{hwang_vldb25,
        title = {{Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse}},
        author = {Hwang, Jinwoo and Kim, Daeun and Lee, Sangyeop and Kim, Yoonsung and Heo, Guseul and Kim, Hojoon and Jeong, Yunseok and Meaza, Tadiwos and Park, Eunhyeok and Ahn, Jeongseob and Park, Jongse},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {10},
        pages = {3284--3298},
        doi = {10.14778/3748191.3748195},
        url = {https://doi.org/10.14778/3748191.3748195},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
147 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.00028941363
273 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022518449
541 BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics 2020 VLDB 0.00016627384
1,023 MIRIS: Fast Object Track Queries in Video 2020 SIGMOD 0.00012398361
1,351 Chimp: Efficient Lossless Floating Point Compression for Time Series Databases 2022 VLDB 0.00010921539
2,713 Panorama: A Data System for Unbounded Vocabulary Querying over Video 2020 VLDB 8.0876569e-05
2,792 EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views 2022 SIGMOD 7.9895218e-05
3,580 Elf: Erasing-based Lossless Floating-Point Compression 2023 VLDB 7.1738746e-05
3,759 VSS: A Storage System for Video Analytics 2021 SIGMOD 7.0248373e-05
3,889 FiGO: Fine-Grained Query Optimization in Video Analytics 2022 SIGMOD 6.9269184e-05
3,957 OTIF: Efficient Tracker Pre-processing over Large Video Datasets 2022 SIGMOD 6.8827279e-05
4,284 VIVA: An End-to-End System for Interactive Video Analytics 2022 CIDR 6.6710929e-05
5,069 ODIN: Automated Drift Detection and Recovery in Video Analytics 2020 VLDB 6.2764765e-05
5,216 Aero: Adaptive Query Processing of ML Queries 2025 SIGMOD 6.2134335e-05
5,232 Seiden: Revisiting Query Processing in Video Database Systems 2023 VLDB 6.2051599e-05
7,265 SeeSaw: Interactive Ad-hoc Search Over Image Databases 2023 SIGMOD 5.5546592e-05
7,416 Accelerating Aggregation Queries on Unstructured Streams of Data 2023 VLDB 5.5159866e-05
9,333 Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations 2024 VLDB 5.1795582e-05
9,576 DoveDB: A Declarative and Low-Latency Video Database 2023 VLDB 5.1424205e-05
9,623 SketchQL: Video Moment Querying with a Visual Query Interface 2024 SIGMOD 5.1372533e-05
10,147 TVM: A Tile-based Video Management Framework 2024 VLDB 5.0597449e-05
10,149 VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building 2023 VLDB 5.0597449e-05
10,150 Everest: A Top-K Deep Video Analytics System 2022 SIGMOD 5.0597449e-05
Previous Page 1 / 1 Next

Semantically Similar Papers