Trends and Topics in Computer Vision ECCV 2010 Workshops, Heraklion, Crete, Greece, September 10-11, 2010, Revised Selected Papers, Part I /

The two volumes LNCS 6553 and 6554 constitute the refereed post-proceedings of 7 workshops held in conjunction with the 11th European Conference on Computer Vision, held in Heraklion, Crete, Greece in September 2010. The 62 revised papers presented together with 2 invited talks were carefully review...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kutulakos, Kiriakos N. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:Lecture Notes in Computer Science, 6553
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Attribute Learning in Large-Scale Datasets
  • Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer
  • Sparse Representations and Distance Learning for Attribute Based Category Recognition
  • Semi-supervised Learning of Facial Attributes in Video
  • Objects as Attributes for Scene Classification
  • A Generic Model to Compose Vision Modules for Holistic Scene Understanding
  • Automatic Facial Landmark Tracking in Video Sequences Using Kalman Filter Assisted Active Shape Models
  • Tracking in Action Space
  • A Tree-Based Approach to Integrated Action Localization, Recognition and Segmentation
  • A SURF-Based Spatio-Temporal Feature for Feature-Fusion-Based Action Recognition
  • Middle-Level Representation for Human Activities Recognition: The Role of Spatio-Temporal Relationships
  • Retrieving Actions in Group Contexts
  • Hough Forest-Based Facial Expression Recognition from Video Sequences
  • Spatiotemporal Features for Effective Facial Expression Recognition
  • Human Focused Action Localization in Video
  • Head Tracking and Hand Segmentation during Hand over Face Occlusion in Sign Language
  • Fusion of Human Posture Features for Continuous Action Recognition
  • Hand Tracking and Affine Shape-Appearance Handshape Sub-units in Continuous Sign Language Recognition
  • Detecting Regions from Single Scale Edges
  • Generalised Pose Estimation Using Depth
  • A Real-Time System for Head Tracking and Pose Estimation
  • A System for Large Vocabulary Sign Search.