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Meitu Technology

Curating Meitu's technical expertise, valuable case studies, and innovation insights. We deliver quality technical content to foster knowledge sharing between Meitu's tech team and outstanding developers worldwide.

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Latest from Meitu Technology

73 recent articles

Meitu Technology

Aug 11, 2018 · Big Data

Meitu Technology Salon: Evolution of the Big Data Platform, Distributed Bitmap (Naix), and Apache Kylin

At Meitu’s Technology Salon, senior big‑data experts detailed the end‑to‑end architecture and stability measures of Meitu’s large‑scale data platform, introduced the high‑performance distributed bitmap solution Naix, showcased the evolution of Meizu’s user‑insight system, and highlighted Apache Kylin’s OLAP capabilities and Superset integration for scalable, real‑time analytics.

Apache KylinBig DataData Platform

0 likes · 9 min read

Meitu Technology

Aug 2, 2018 · Big Data

Spark Streaming vs Flink – Architecture, Scheduling & Fault Tolerance

This article compares Spark Streaming and Flink across runtime models, component roles, programming APIs, task scheduling, time semantics, dynamic Kafka partition detection, fault‑tolerance mechanisms, exactly‑once guarantees, and back‑pressure handling, providing code examples and practical insights for real‑time data processing.

Dynamic Partition DetectionExactly-OnceFlink

0 likes · 23 min read

Spark Streaming vs Flink – Architecture, Scheduling & Fault Tolerance

Meitu Technology

Jul 24, 2018 · Big Data

Exploring Big Data Cluster Security: Evaluation of Kerberos, Apache Sentry, and Apache Ranger

The article evaluates Kerberos, Apache Sentry, and Apache Ranger for securing Meitu’s large‑scale Hadoop ecosystem, highlighting Ranger’s comprehensive, fine‑grained, policy‑based authorization across HDFS, HBase, Hive, YARN, Storm, and Kafka, and describing its configuration, LDAP integration, and custom SDK implementation.

Apache RangerApache SentryHadoop

0 likes · 12 min read

Exploring Big Data Cluster Security: Evaluation of Kerberos, Apache Sentry, and Apache Ranger

Meitu Technology

Jul 24, 2018 · Artificial Intelligence

Interaction-aware Spatio-Temporal Pyramid Attention Networks for Action Classification

Researchers introduce an Interaction‑aware Spatio‑Temporal Pyramid Attention network that embeds a PCA‑guided loss to capture complementary multi‑scale features, enabling end‑to‑end video action classification with state‑of‑the‑art accuracy on UCF101, HMDB51, Charades and internal datasets.

Attention MechanismCNNaction classification

0 likes · 7 min read

Interaction-aware Spatio-Temporal Pyramid Attention Networks for Action Classification

Meitu Technology

Jul 17, 2018 · Artificial Intelligence

Video Clustering Techniques for Personalized Recommendation in Meipai

Meipai’s personalized recommendation system leverages massive user‑behavior data to build behavior‑driven video clusters—evolving from TopicModel through Item2vec and Keyword Propagation to a DSSM deep model—boosting ranking AUC, enhancing UI diversity, similar‑video search, niche discovery, and feature engineering.

DSSMItem2Veckeyword propagation

0 likes · 22 min read

Video Clustering Techniques for Personalized Recommendation in Meipai

Meitu Technology

Jul 13, 2018 · Backend Development

Meitu Technical Salon: Classic Video Technology Architecture and Optimization Practices

At the 10th Meitu Internet Technical Salon, experts presented classic video technology architecture and optimization case studies, detailing Meipai’s cost‑reduction and millisecond startup techniques, Inke’s live‑quiz system that scales to millions of concurrent users, and five strategies that cut Meipai live‑stream first‑screen time by more than 70%.

High ConcurrencyPerformance OptimizationStreaming Media

0 likes · 6 min read

Meitu Technical Salon: Classic Video Technology Architecture and Optimization Practices

Meitu Technology

Jul 12, 2018 · Artificial Intelligence

DeepHash: Large-Scale Multimedia Content Analysis and Retrieval for Short Video Platforms

DeepHash is Meitu’s large‑scale short‑video analysis and retrieval system that converts deep‑learned visual features into compact binary hash codes via a MobileNet‑based CNN and triplet‑loss training, enabling fast, robust similarity search across billions of videos with sub‑second latency and minimal storage.

feature extractionlarge scalemultimedia retrieval

0 likes · 15 min read

DeepHash: Large-Scale Multimedia Content Analysis and Retrieval for Short Video Platforms

Meitu Technology

Jun 25, 2018 · Artificial Intelligence

Meitu Short Video Real-Time Classification Challenge MTSVRC

The Meitu Short Video Real-Time Classification Challenge (MTSVRC), co‑hosted by the PRCV conference, Meitu and the Chinese Academy of Sciences, releases the industry‑largest dataset of over 100,000 five‑to‑15‑second videos in 50 categories, judging both classification accuracy and real‑time speed, and offers cash prizes up to ¥100,000 plus presentation opportunities for top teams.

AI researchMTSVRCPRCV 2018

0 likes · 5 min read

Meitu Short Video Real-Time Classification Challenge MTSVRC

Meitu Technology

Jun 25, 2018 · Artificial Intelligence

Meitu's Personalized Recommendation System: Architecture, Features, and Optimization Strategies

Meitu’s personalized recommendation platform for the Meipai app combines offline feature engineering, near‑real‑time streaming, and online serving to recall, estimate, and rank billions of short videos using multi‑modal content features, user profiling, online learning, cold‑start bandit strategies, and multi‑objective diversity optimization, delivering timely, diverse feeds across live, homepage, and video‑detail scenarios.

Online Learningcold startcontent diversity

0 likes · 17 min read

Meitu's Personalized Recommendation System: Architecture, Features, and Optimization Strategies

Meitu Technology

Jun 21, 2018 · Blockchain

Tendermint Overview: Architecture, Design Principles, and Core Modules

Tendermint is a modular blockchain framework that separates consensus (a Byzantine‑fault‑tolerant Proof‑of‑Stake engine) from application logic via the ABCI, offering a three‑layer architecture—networking, consensus, and application—so developers can build custom chains in any language while leveraging Cosmos interoperability.

ABCIBlockchainConsensus

0 likes · 14 min read

Tendermint Overview: Architecture, Design Principles, and Core Modules