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VSCC '17: Proceedings of the Workshop on Visual Analysis in Smart and Connected Communities
ACM2017 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MM '17: ACM Multimedia Conference Mountain View California USA 23 October 2017
ISBN:
978-1-4503-5506-3
Published:
23 October 2017
Sponsors:
Next Conference
October 28 - November 1, 2024
Melbourne , VIC , Australia
Bibliometrics
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Abstract

It is our great pleasure to welcome you to the First ACM Multimedia Workshops on Visual Analysis for Smart and Connected Communities (VSCC'17), which is in conjunction with the ACM Conference on Multimedia'2017. This workshop serves as the premier forum for presentation of cutting-edge visual analysis techniques that are widely used in all aspects of smart cities -- transportation, security, smart building, internet of things etc. The mission of the workshop is to bring together researchers and practitioners from diverse areas of artificial intelligence -- vision, multimedia, learning, reasoning, planning etc., to explore both established and novel applications of visual analysis techniques.

The three goals of VSCC'17 are to (a) identify the key challenges in visual analysis for smart and connected communities; (b) recognize the promising solutions to these challenges; and (c) remark the future of research in this inter-discipline domain.

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SESSION: Non Session Scheduled
research-article
PKU-MMD: A Large Scale Benchmark for Skeleton-Based Human Action Understanding

Despite the fact that many 3D human activity benchmarks being proposed, most existing action datasets focus on the action recognition tasks for the segmented videos. There is a lack of standard large-scale benchmarks, especially for current popular data-...

research-article
Learning End-to-End Autonomous Steering Model from Spatial and Temporal Visual Cues

In recent years, autonomous driving algorithms using low-cost vehicle-mounted cameras have attracted increasing endeavors from both academia and industry. There are multiple fronts to these endeavors, including object detection on roads, 3-D ...

research-article
UFvH: Unified Feature Video Hashing for Near-Duplicate Video Retrieval

Video hashing is a hot topic in large-scale near-duplicate video retrieval (NDVR), where feature extraction and hash generation are two key steps. However, there are still some challenges about feature fusion and hash similarity evaluation in the video ...

research-article
Semi-supervised Distance Consistent Cross-modal Retrieval

Most of existing cross-modal retrieval approaches only exploit labeled data to train coupled projection matrices for supporting retrieval tasks across heterogeneous modalities. However, the valuable information involved in unlabeled data is ...

research-article
Visual Self-localization via Inferring View-to-Map Correspondences

This paper poses self-localization of a moving camera as a view-to-map correspondence problem, utilizing a large set of ground-view maps rendered by existing mapping tool, like Google Earth. To address the viewpoint and appearance differences between ...

research-article
P-S Instance Retrieval via Early Elimination and Late Expansion

In daily life, it is common that viewers want to quickly browse scenes with their idols in TV series. In 2016, the TRECVID INS (Instance Search) task started to focus on identifying a specific target person in a target location. In this paper, we name ...

Contributors
  • Peking University
  • Fudan University
  • University of Rochester

Index Terms

  1. Proceedings of the Workshop on Visual Analysis in Smart and Connected Communities
    Index terms have been assigned to the content through auto-classification.

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    Acceptance Rates

    VSCC '17 Paper Acceptance Rate6of12submissions,50%Overall Acceptance Rate6of12submissions,50%
    YearSubmittedAcceptedRate
    VSCC '1712650%
    Overall12650%