Graph Based Multimedia Analysis applies graph theory to the problems of analyzing an over-abundance of video data. Video data can be diverse: exocentric (captured by standard camera) or egocentric (captured by a wearable device like Google glass); of various durations; from multiple sources. Efficient extraction of important/useful information from such a large class of diverse inputs can be overwhelming. The book, with its rich repertoire of theoretically elegant solutions, empowers the audience to achieve tasks like obtaining concise yet useful summary and precisely recognizing single as well as multiple actions in a computationally efficient manner. Addresses a number of challenging state-of-the-art problems in multimedia analysis like summarization, co-summarization, recognitionHandles a wide class of video with different genres, durations, and numbersApplies a class of theoretically rich algorithms from the discipline of graph theory, in conjunction with deep learning and game theoryIncludes thorough complexity-analyses of the proposed solutions and an appendix containing implementable source codes INDICE: 1. Introduction2. Theoretical Foundations3. Exocentric Video Summarization4. Multi-view Exocentric Video Summarization5. Egocentric Video Summarization6. Egocentric Video Co-summarization7. Action Recognition in Egocentric Video
- ISBN: 978-0-443-21495-0
- Editorial: Morgan Kaufmann
- Encuadernacion: Rústica
- Páginas: 370
- Fecha Publicación: 02/09/2024
- Nº Volúmenes: 1
- Idioma: Inglés