Video Indexing using Optical Flow Field

Risultato della ricerca: Other

34 Citazioni (Scopus)

Abstract

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
Lingua originaleItalian
Numero di pagine4
Stato di pubblicazionePublished - 1996

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cita questo

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title = "Video Indexing using Optical Flow Field",
abstract = "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",
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author = "{La Cascia}, Marco and Edoardo Ardizzone",
year = "1996",
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T1 - Video Indexing using Optical Flow Field

AU - La Cascia, Marco

AU - Ardizzone, Edoardo

PY - 1996

Y1 - 1996

N2 - 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

AB - 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

KW - Video indexing

KW - motion analysis

UR - http://hdl.handle.net/10447/38594

M3 - Other

ER -