Video Search and Mining
This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It...
Salvato in:
| Altri autori: | , , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2010. |
| Serie: | Studies in Computational Intelligence
287 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Video Search and Mining, Texte imprimé, 9783642128998 • Video Search and Mining, Texte imprimé, 9783642128998 • Video Search and Mining, Texte imprimé, 9783642129018 • Video Search and Mining, Texte imprimé, 9783642263439 |
Sommario:
- Motion Trajectory Analysis Object Trajectory Analysis in Video Indexing and Retrieval Applications Trajectory Clustering for Scene Context Learning and Outlier Detection Motion Trajectory-Based Video Retrieval, Classification, and Summarization High-Dimensional Video Representation Three Dimensional Information Extraction and Applications to Video Analysis Statistical Analysis on Manifolds and Its Applications to Video Analysis Semantic Video Analysis Semantic Video Content Analysis Video Genre Inference Based on Camera Capturing Models Visual Concept Learning from Weakly Labeled Web Videos Personalized Video Face Recognition and Retrieval in Video A Human-Centered Computing Framework to Enable Personalized News Video Recommendation Video Mining A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Video Collections Video Repeat Recognition and Mining by Visual Features Mining TV Broadcasts 24/7 for Recurring Video Sequences YouTube Scale, Large Vocabulary Video Annotation