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Gen Zhan

Researcher at Wuhan University

Publications -  5
Citations -  38

Gen Zhan is an academic researcher from Wuhan University. The author has contributed to research in topics: Object detection & Computer science. The author has an hindex of 2, co-authored 4 publications receiving 10 citations.

Papers
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Journal ArticleDOI

A sensitive object-oriented approach to big surveillance data compression for social security applications in smart cities

TL;DR: A sensitive object‐oriented regions of interest‐based coding strategy for preserving the analytical value of surveillance data by considering saliency as a set of characteristics important for object detection and recognition is proposed.
Book ChapterDOI

An Analysis-Oriented ROI Based Coding Approach on Surveillance Video Data

TL;DR: This paper qualitatively analyze the effect of video compression on the performance of video analysis, such as feature similarity and object detection, and proposes an analysis-oriented region of interest (ROI) based coding approach to relieve this problem.
Book ChapterDOI

Two-Level Segment-Based Bitrate Control for Live ABR Streaming

TL;DR: A two-level segment-based rate control for ABR streaming is proposed, which properly allocate the bits to frames depend on their types and content complexity; while in the picture level, the proposed algorithm controls the encoded picture size close to the allocated size by an improved rate prediction model.
Book ChapterDOI

Criminal Investigation Oriented Saliency Detection for Surveillance Videos

TL;DR: A criminal investigation attentive model CIAM is constructed to score the occurrence probabilities of CIAOs in spatial domain and novelly utilize score to represent saliency, thus making CIAO regions more salient than non-CIAO regions, and refine the spatial domain saliency map with the motion information in temporal domain to obtain the spatio-temporal saliencymap.