TVM: A Tile-based Video Management Framework

Summary: TVM builds workload-independent, tile-based semantic indexes using cost functions and pseudo-labels to reduce decoded video volume. Query-driven parallel decoding and resource caching further accelerate frame retrieval, delivering over 5.6× throughput gains. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13933
Venue: VLDB
Year: 2024
Pagerank: 5.1955087e-05
Overall Rank: 9,924 | 31.92%
DOI: 10.14778/3636218.3636224

Incoming Non-self Citations Over Time

Authors

1. Tianxiong Zhong (Beijing Institute of Technology)
2. Zhiwei Zhang (Beijing Institute of Technology)
3. Guo Lu (Shanghai Jiao Tong University)
4. Ye Yuan (Beijing Institute of Technology)
5. Yu-Ping Wang (Beijing Institute of Technology)
6. Guoren Wang (Beijing Institute of Technology)

BibTeX Citation

@article{zhong_vldb24,
        title = {{TVM: A Tile-based Video Management Framework}},
        author = {Zhong, Tianxiong and Zhang, Zhiwei and Lu, Guo and Yuan, Ye and Wang, Yu-Ping and Wang, Guoren},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {4},
        pages = {671--684},
        doi = {10.14778/3636218.3636224},
        url = {https://doi.org/10.14778/3636218.3636224},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,716	nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems	2024	VLDB	5.3776746e-05
10,917	Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
284	NoScope: Optimizing Neural Network Queries over Video at Scale	2017	VLDB	0.00022370521
569	BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics	2020	VLDB	0.00016348191
1,042	MIRIS: Fast Object Track Queries in Video	2020	SIGMOD	0.00012451966
2,898	Approximate Selection with Guarantees using Proxies	2020	VLDB	7.978725e-05
3,253	Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics	2021	VLDB	7.5936939e-05
3,720	VSS: A Storage System for Video Analytics	2021	SIGMOD	7.1739329e-05
3,766	TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data	2022	SIGMOD	7.1430942e-05
4,007	Optimizing Video Analytics with Declarative Model Relationships	2023	VLDB	6.9632395e-05
4,298	OTIF: Efficient Tracker Pre-processing over Large Video Datasets	2022	SIGMOD	6.7750533e-05
4,375	FiGO: Fine-Grained Query Optimization in Video Analytics	2022	SIGMOD	6.7369552e-05
5,098	LightDB: A DBMS for Virtual Reality Video	2018	VLDB	6.3652221e-05

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