Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloA complexity-bounded motion estimation algorithm
Anno di pubblicazione2002
Formato-
Autore/iA. Chimienti, D. Pau, C. Ferraris
Affiliazioni autori1,3 - CNR, 2 - STMicroelectronics
Autori CNR e affiliazioni
  • CLAUDIA FERRARIS
  • ANTONIO CHIMIENTI
Lingua/e-
AbstractMotion estimation full search algorithm in video coding is an operation computationally very intensive. For this reason, in real time or low power application, simplified motion estimation algorithms are very appreciated. In this paper a new motion estimation algorithm of reduced complexity will be presented. It tries to conjugate the extreme reduction of computational load with a good efficiency. It exploits the "past" history of the motion field to predict the current motion field. This approach permits to limit greatly the number of motion vector to test. A following refinement phase gives the final motion vector. The complexity is lower than other algorithms present in literature and is also constant because in the algorithm there is no recursivity. Simulation evaluation show the robustness of the algorithm with any kind of video sequence, an optimal performance with respect to other reduced complexity algorithms and a very reduced loss of efficiency with respect to the full search algorithm
Lingua abstract-
Altro abstract-
Lingua altro abstract-
Pagine da387
Pagine a392
Pagine totali-
RivistaIEEE transactions on image processing
Attiva dal 1992
Editore: Institute of Electrical and Electronics Engineers, - New York, NY
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1057-7149
Titolo chiave: IEEE transactions on image processing
Titolo proprio: IEEE transactions on image processing
Titolo abbreviato: IEEE trans. image process.
Titoli alternativi:
  • Institute of Electrical and Electronics Engineers transactions on image processing
  • Image processing
Numero volume della rivista11
Fascicolo della rivista-
DOI-
Verificato da referee-
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)-
Parole chiavevideo coding, motion estimation, H.263
Link (URL, URI)-
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR-
Progetti Europei-
Allegati

    Dati storici
    I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
    Area disciplinareInformation Technology & Communications Systems
    Area valutazione CIVRScienze e tecnologie per una società dell'informazione e della comunicazione
    Rivista ISIIEEE TRANSACTIONS ON IMAGE PROCESSING [11001J0]
    Descrizione sintetica del prodottoMotion estimation full search algorithm in video coding is an operation computationally very intensive. For this reason, in real time or low power application, simplified motion estimation algorithms are very appreciated. In this paper a new motion estimation algorithm of reduced complexity will be presented. It tries to conjugate the extreme reduction of computational load with a good efficiency. It exploits the "past" history of the motion field to predict the current motion field. This approach permits to limit greatly the number of motion vector to test. A following refinement phase gives the final motion vector. The complexity is lower than other algorithms present in literature and is also constant because in the algorithm there is no recursivity. Simulation evaluation show the robustness of the algorithm with any kind of video sequence, an optimal performance with respect to other reduced complexity algorithms and a very reduced loss of efficiency with respect to the full search algorithm