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1. |
Record Nr. |
UNINA9910797010103321 |
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Autore |
Magagnoli Paolo |
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Titolo |
Documents of Utopia : the politics of experimental documentary / / Paolo Magagnoli |
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Pubbl/distr/stampa |
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London : , : Wallflower Press, , [2015] |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (193 p.) |
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Collana |
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Classificazione |
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Disciplina |
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Soggetti |
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Documentary films - History and criticism |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front matter -- Contents -- Acknowledgments -- Introduction - Nostalgia: Pathalogical and Critical -- Chapter One. Ruins of Utopia -- Chapter Two. Reinventing Propaganda Films -- Chapter Three. Archives of Commodities -- Chapter Four. Digital Utopia in the Post-Internet Age -- Epilogue - Utopia Now -- Bibliography -- Index |
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Sommario/riassunto |
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This timely volume discusses the experimental documentary projects of some of the most significant artists working in the world today: Hito Steyerl, Joachim Koester, Tacita Dean, Matthew Buckingham, Zoe Leonard, Jean-Luc Moulène, Ilya and Emilia Kabakov, Jon Thomson and Alison Craighead, and Anri Sala. Their films, videos, and photographic series address failed utopian experiments and counter-hegemonic social practices. This study illustrates the political significance of these artistic practices and critically contributes to the debate on the conditions of utopian thinking in late-capitalist society, arguing that contemporary artists' interest in the past is the result of a shift within the temporal organization of the utopian imagination from its futuristic pole toward remembrance. The book therefore provides one of the first critical examinations of the recent turn toward documentary in the field of contemporary art. |
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2. |
Record Nr. |
UNINA9910484940403321 |
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Titolo |
Toward category-level object recognition / / Jean Ponce ... [et al.] (eds.) |
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Pubbl/distr/stampa |
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Berlin ; ; New York, : Springer, c2006 |
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ISBN |
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Edizione |
[1st ed. 2006.] |
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Descrizione fisica |
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1 online resource (XI, 620 p.) |
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Collana |
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Lecture notes in computer science, , 0302-9743 ; ; 4170 |
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computer vision |
Pattern recognition systems |
Image processing - Digital techniques |
Object-oriented methods (Computer science) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"Outcome of two workshops that were held in Taormina in 2003 and 3004"--Pref. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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pt. 1. Introduction -- pt. 2. Recognition of specific objects -- pt. 3. Recognition of object categories -- pt. 4. Recognition of object categories with geometric relations -- pt. 5. Joint recognition and segmentation. |
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Sommario/riassunto |
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Although research in computer vision for recognizing 3D objects in photographs dates back to the 1960s, progress was relatively slow until the turn of the millennium, and only now do we see the emergence of effective techniques for recognizing object categories with different appearances under large variations in the observation conditions. Tremendous progress has been achieved in the past five years, thanks largely to the integration of new data representations, such as invariant semi-local features, developed in the computer vision community with the effective models of data distribution and classification procedures developed in the statistical machine-learning community. This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The main goals of these two workshops were to promote the creation of an international |
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object recognition community, with common datasets and evaluation procedures, to map the state of the art and identify the main open problems and opportunities for synergistic research, and to articulate the industrial and societal needs and opportunities for object recognition research worldwide. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation. |
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