{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":46,"n_cols":5,"rows_kept":46,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[5,2,5,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[11,2,11,3],[12,2,12,3],[15,2,15,3],[16,2,16,3],[20,2,20,3],[23,2,23,3],[23,4,23,5],[24,2,24,3],[24,4,24,5],[25,2,25,3],[25,4,25,5],[26,2,26,3],[27,2,27,3],[28,2,28,3],[29,2,29,3],[30,2,30,3],[31,2,31,3],[40,2,40,3],[41,2,41,3],[43,2,43,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910455827503321"]
[null,null,"Autore",null,"Ehrat Johannes <1952->"]
[null,null,"Titolo",null,"Cinema and semiotic : Peirce and film aesthetics, narration, and representation / / Johannes Ehrat"]
[null,null,"Pubbl/distr/stampa",null,"Toronto, [Ontario] ; ; Buffalo, [New York] ; ; London, [England] : , : University of Toronto Press, , 2005"]
[{"$nulls":4},"©2005"]
[null,null,"ISBN",null,"1-282-02907-X"]
[{"$nulls":4},"9786612029073"]
[{"$nulls":4},"1-4426-7295-1"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (693 p.)"]
[null,null,"Collana",null,"Toronto Studies in Semiotics and Communication"]
[null,null,"Disciplina",null,"791.43014"]
[null,null,"Soggetti",null,"Motion pictures - Semiotics"]
[{"$nulls":4},"Motion pictures - Aesthetics"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references, filmography and index."]
[null,null,"Nota di contenuto",null,"Frontmatter -- Contents -- Acknowledgments -- Introduction -- 1 On Signs, Categories, and Reality and How They Relate to Cinema -- 2 Semiotic and Its Practical Use for Cinema -- 3 What 'Is' Cinema? -- 4 Narration in Film and Film Theory -- 5 Narration, Time, and Narratologies -- 6 Enunciation in Cinema -- Conclusion -- Notes -- Bibliography -- Filmography, by Director -- Index"]
[null,null,null,"Sommario/riassunto","'Meaning' in cinema is very complex, and the flood of theories that define it have, in certain ways, left cinematic meaning meaningless. Johannes Ehrat's analysis of meaning in cinema has convinced him that what is needed is greater philosophical reflection on the construction of meaning. In Cinema and Semiotic, he attempts to resurrect meaning by employing Charles S. Peirce's theories on semiotics to debate the major contemporary film theories that have diluted it.Based on Peirce's Semiotic and Pragmatism, Ehrat offers a novel approach to cinematic meaning in three central areas: narrative enunciation, cinematic world appropriation, and cinematic perception. Attempting a comprehensive theory of cinema ? instead of the regional 'middle-ground' theories that function only on certain 'common-sense' assumptions that borrow uncritically from psychophysiology ? Ehrat further demonstrates how a semiotic approach grasps the nature of time, not in a psychological "]
[{"$nulls":4},"manner, but rather cognitively, and provides a new understanding of the particular filmic sign process that relates a sign to the existence or non-existence of objects. Never before has Peirce been so fruitfully employed for the comprehension of meaning in cinema."]
[null,"2.","Record Nr.",null,"UNINA9911011778903321"]
[null,null,"Autore",null,"Liu Meng"]
[null,null,"Titolo",null,"Intelligent and Efficient Video Moment Localization / / by Meng Liu, Yupeng Hu, Weili Guan, Liqiang Nie"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-87588-5"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (229 pages)"]
[null,null,"Disciplina",null,"006"]
[null,null,"Soggetti",null,"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial intelligence - Data processing"]
[{"$nulls":4},"Quantitative research"]
[{"$nulls":4},"Multimedia systems"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Data Science"]
[{"$nulls":4},"Data Analysis and Big Data"]
[{"$nulls":4},"Multimedia Information Systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1: Introduction -- Chapter 2: Semantic Enhanced Video Moment Localization -- Chapter 3: Semantic Alignment Video Moment Localization -- Chapter 4: Semantic Pruning Video Moment Localization -- Chapter 5: Semantic Collaborative Video Moment Localization -- Chapter 6: Weakly-Supervised Video Moment Localization -- Chapter 7: Efficient Hashing based Video Moment Localization -- Chapter 8: Research Frontiers."]
[null,null,null,"Sommario/riassunto","This book provides a comprehensive exploration of video moment localization, a rapidly emerging research field focused on enabling precise retrieval of specific moments within untrimmed, unsegmented videos. With the rapid growth of digital content and the rise of video-sharing platforms, users face significant challenges when searching for particular content across vast video archives. This book addresses how video moment localization uses natural language queries to bridge the gap between video content and semantic understanding, offering an intuitive solution for locating specific moments across diverse domains like surveillance, education, and entertainment. This book explores the "]
[{"$nulls":4},"latest advancements in video moment localization, addressing key issues such as accuracy, efficiency, and scalability. It presents innovative techniques for contextual understanding and cross-modal semantic alignment, including attention mechanisms and dynamic query decomposition. Additionally, the book discusses solutions for enhancing computational efficiency and scalability, such as semantic pruning and efficient hashing, while introducing frameworks for better integration between visual and textual data. It also examines weakly-supervised learning approaches to reduce annotation costs without sacrificing performance. Finally, the book covers real-world applications and offers insights into future research directions."]