6533b831fe1ef96bd1298eca

RESEARCH PRODUCT

Video indexing using optical flow field

M. La CasciaEdoardo Ardizzone

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMotion compensationbusiness.industryComputer scienceSearch engine indexingDigital videoFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage segmentationVideo processingElectronic mailVideo indexing motion analysisMotion estimationComputer visionArtificial intelligencebusinessBlock-matching algorithm

description

The increasing development of advanced multimedia applications requires new technologies for organizing and retrieving by content databases of digital video. Several content based features (color, texture, motion, etc.) are needed to perform a reliable content based retrieval. We present a method for automatic motion based video indexing and retrieval. A prototypal system has been developed to prove the validity of our approach. Our system automatically splits a video into a sequence of shots, extracts a few representative frames (said r-frames) from each shot and computes some motion based features related to the optical flow field. Motion based queries are then performed either in a qualitative or quantitative way. The results obtained with our system proved that motion based query can play a central role in content based video retrieval.

http://www.scopus.com/inward/record.url?eid=2-s2.0-0030422303&partnerID=MN8TOARS