Video Search and Mining

Video Search and Mining edited by Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Schonfeld, Dan (Editor), Shan, Caifeng (Editor), Tao, Dacheng (Editor), Wang, Liang (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Studies in Computational Intelligence, 287
Springer eBook Collection.
Subjects:
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Data mining.
Optical data processing.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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