IEEE CBMI 2026 ยท Conference Presentation

AI-Based Thumbnail Generation for Soccer Clips using Multi-Signal Analysis

Aliaan Azam, Mehdi Houshmand Sarkhoosh

Work done in collaboration with SimulaMet and industry partner Forzasys


๐Ÿ—“๏ธ Conference
IEEE CBMI 2026
October 2026
๐Ÿ“ Location
Rempart Building
Toulouse, France
๐ŸŽค Presentation
Thursday, October 22, 2026
14:15โ€“14:30

Session: Regular session 3 (14:15โ€“16:15)

Conference program: cbmi2026.sciencesconf.org/program/details

๐Ÿงฌ CBMI 2026 Website

๐Ÿ“„ Presentation Slides

๐Ÿ”ฌ Thesis & Resources

๐ŸŽ“ MADTRS Thesis

AI-Based Thumbnail Generation for Soccer Clips using Multi-Signal Analysis

A multi-stage AI pipeline that filters, analyzes and ranks frames from soccer goal clips to select thumbnail candidates. It combines camera shot-type classification, logo detection, face detection, emotion and pose signals, and image quality, with a GUI for running the pipeline and a user study comparing five thumbnail methods.


Resources
Aliaan Azam ยท 2026 ยท MADTRS thesis