LabCompass

Sibendu Paul

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2006

Publications

30

Citations

126

Est. group size

~1

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Sibendu Paul's research focuses on video analytics and video quality, including systems that automatically tune camera parameters and video pipelines to improve analysis accuracy, and methods for understanding video content such as detecting funny scenes, motion blur, and key moments in longer videos. The work combines computer vision techniques with systems engineering, aiming to make automated video processing more efficient and reliable in real-world settings like streaming and surveillance.

Video analytics systemsCamera parameter tuning and adaptive quality controlVideo content understanding (scene/frame extraction)Image quality and blur detectionNetworking for content delivery (information-centric networks)

Publication output has been variable but generally increasing over the last decade, with a notable surge of activity in 2021-2022 and again projected for 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.4/year recently
2017: 1 publication17182019: 1 publication192020: 3 publications202021: 5 publications212022: 6 publications6222023: 2 publications23242025: 3 publications252026: 6 publications626
Recent publications
Publishes in
  • arXiv (Cornell University)×11
  • Open MIND×2
  • IEEE Transactions on Mobile Computing×1
  • Photonic Network Communications×1
  • ACM Transactions on Embedded Computing Systems×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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