Computer Vision - ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I (Lecture Notes in Computer Science)

The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed proceedings of the Workshops that took place in conjunction with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016.

27 workshops from 44 workshops proposals were selected for inclusion in the proceedings. These address the following themes: Datasets and Performance Analysis in Early Vision; Visual Analysis of Sketches; Biological and Artificial Vision; Brave New Ideas for Motion Representations; Joint Imagenet and MS Coco Visual Recognition Challenge; Geometry Meets Deep Learning; Action and Anticipation for Visual Learning; Computer Vision for Road Scene Understanding and Autonomous Driving; Challenge on Automatic Personality Analysis; BioImage Computing; Benchmarking Multi-Target Tracking: MOTChallenge; Assistive Computer Vision and Robotics; Transferring and Adapting Source Knowledge in Computer Vision; Recovering 6D Object Pose; Robust Reading; 3D Face Alignment in the Wild and Challenge; Egocentric Perception, Interaction and Computing; Local Features: State of the Art, Open Problems and Performance Evaluation; Crowd Understanding; Video Segmentation; The Visual Object Tracking Challenge Workshop; Web-scale Vision and Social Media; Computer Vision for Audio-visual Media; Computer VISion for ART Analysis; Virtual/Augmented Reality for Visual Artificial Intelligence; Joint Workshop on Storytelling with Images and Videos and Large Scale Movie Description and Understanding Challenge.

LNCS 9913、LNCS 9914和LNCS 9915這三卷組成的系列是2016年10月在荷蘭阿姆斯特丹舉行的第14屆歐洲計算機視覺會議（ECCV 2016）期間舉辦的研討會的審查程序。從44個研討會提案中選出了27個研討會，並將其納入會議論文集中。這些研討會涵蓋了以下主題：早期視覺中的數據集和性能分析；素描的視覺分析；生物和人工視覺；運動表示的新思路；Imagenet和MS Coco視覺識別挑戰；幾何遇上深度學習；視覺學習的行動和預測；道路場景理解和自動駕駛的計算機視覺；自動人格分析挑戰；生物影像計算；多目標跟踪基準測試：MOTChallenge；輔助計算機視覺和機器人技術；在計算機視覺中轉移和適應源知識；恢復6D物體姿態；魯棒閱讀；野外3D人臉對齊和挑戰；自我中心感知、互動和計算；局部特徵：現狀、開放問題和性能評估；群體理解；視頻分割；視覺目標跟踪挑戰研討會；網絡視覺和社交媒體；音視覺媒體的計算機視覺；藝術分析的計算機視覺；視覺人工智能的虛擬/擴增現實；圖像和視頻故事講述聯合研討會和大規模電影描述和理解挑戰。