Back to papers
Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
Summary: Déjà Vu speeds ViT-based VideoLMs by learning when to reuse inter-frame ViT computations (ReuseViT), trading minimal accuracy loss for large computation savings. It couples this with memory–compute joint compaction to turn FLOP savings into up to 2.64× embedding throughput within 2% error.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13961
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,675 | 25.81%
- DOI
-
10.14778/3748191.3748195
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
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 |
| 211 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003401421 |
| 317 |
NoScope: Optimizing Neural Network Queries over Video at Scale |
2017 |
VLDB |
0.0002798145 |
| 694 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
0.00018031141 |
| 1,390 |
MIRIS: Fast Object Track Queries in Video |
2020 |
SIGMOD |
0.00012242018 |
| 2,070 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6331032e-05 |
| 3,212 |
Panorama: A Data System for Unbounded Vocabulary Querying over Video |
2020 |
VLDB |
7.3772955e-05 |
| 3,610 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
6.919859e-05 |
| 4,265 |
VSS: A Storage System for Video Analytics |
2021 |
SIGMOD |
6.3012892e-05 |
| 4,389 |
Elf: Erasing-based Lossless Floating-Point Compression |
2023 |
VLDB |
6.2197225e-05 |
| 4,642 |
VIVA: An End-to-End System for Interactive Video Analytics |
2022 |
CIDR |
6.0214283e-05 |
| 4,749 |
ODIN: Automated Drift Detection and Recovery in Video Analytics |
2020 |
VLDB |
5.9428569e-05 |
| 4,865 |
OTIF: Efficient Tracker Pre-processing over Large Video Datasets |
2022 |
SIGMOD |
5.8627966e-05 |
| 5,168 |
FiGO: Fine-Grained Query Optimization in Video Analytics |
2022 |
SIGMOD |
5.6446115e-05 |
| 6,306 |
Seiden: Revisiting Query Processing in Video Database Systems |
2023 |
VLDB |
5.1146055e-05 |
| 7,334 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
4.7538944e-05 |
| 7,911 |
Accelerating Aggregation Queries on Unstructured Streams of Data |
2023 |
VLDB |
4.6143141e-05 |
| 8,694 |
SeeSaw: Interactive Ad-hoc Search Over Image Databases |
2023 |
SIGMOD |
4.4615833e-05 |
| 9,129 |
Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations |
2024 |
VLDB |
4.3861016e-05 |
| 9,346 |
SketchQL: Video Moment Querying with a Visual Query Interface |
2024 |
SIGMOD |
4.3512358e-05 |
| 9,767 |
TVM: A Tile-based Video Management Framework |
2024 |
VLDB |
4.2815042e-05 |
| 9,770 |
DoveDB: A Declarative and Low-Latency Video Database |
2023 |
VLDB |
4.2815042e-05 |
| 9,771 |
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building |
2023 |
VLDB |
4.2815042e-05 |
| 9,772 |
Everest: A Top-K Deep Video Analytics System |
2022 |
SIGMOD |
4.2815042e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 4,565 |
Optimizing Video Analytics with Declarative Model Relationships |
2023 |
VLDB |
6.0746821e-05 |
| 7,922 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
4.6114931e-05 |
| 10,527 |
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration |
2025 |
SIGMOD |
4.1905499e-05 |
| 3,599 |
Spatial and Temporal Constrained Ranked Retrieval over Videos |
2022 |
VLDB |
6.92963e-05 |
| 10,947 |
Predictive and Near-Optimal Sampling for View Materialization in Video Databases |
2024 |
SIGMOD |
4.1905499e-05 |
| 5,168 |
FiGO: Fine-Grained Query Optimization in Video Analytics |
2022 |
SIGMOD |
5.6446115e-05 |
| 4,947 |
Evaluating Temporal Queries Over Video Feeds |
2021 |
SIGMOD |
5.8107138e-05 |
| 9,767 |
TVM: A Tile-based Video Management Framework |
2024 |
VLDB |
4.2815042e-05 |
| 10,512 |
Self-Enhancing Video Data Management System for Compositional Events with Large Language Models |
2025 |
SIGMOD |
4.1905499e-05 |
| 11,064 |
Optimizing Video Queries with Declarative Clues |
2024 |
VLDB |
4.1905499e-05 |