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Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale

Summary: Mixer: class-based features with separate production/execution layers for images and videos. Two retrieval layers enable aggregation; on Baidu, model production time halved and throughput 9.14x, with 95% precision and 97% recall for video retrieval. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12500
Venue
VLDB
Year
2021
Pagerank
5.1235353e-05
Overall Rank
6,282 | 56.35%
DOI
10.14778/3476311.3476371

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,321 High-Throughput Vector Similarity Search in Knowledge Graphs 2023 SIGMOD 9.0359336e-05
4,642 VIVA: An End-to-End System for Interactive Video Analytics 2022 CIDR 6.0214283e-05
10,420 MicroNN: An On-device Disk-resident Updatable Vector Database 2025 SIGMOD 4.1905499e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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