Data structures for quadtree approximation and compression
Communications of the ACM
Tracking and data association
An optimal algorithm for approximate nearest neighbor searching fixed dimensions
Journal of the ACM (JACM)
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Skimming and Characterization through the Combination of Image and Language Understanding
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Efficient Content Representation in MPEG Video Databases
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Automatic Video Summarization by Graph Modeling
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
Making a Long Video Short: Dynamic Video Synopsis
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Automated Visual Surveillance in Realistic Scenarios
IEEE MultiMedia
Nonchronological Video Synopsis and Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time human action recognition by luminance field trajectory analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
An ontology based approach for activity recognition from video
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Supporting region-of-interest cropping through constrained compression
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Interactive retrieval for multi-camera surveillance systems featuring spatio-temporal summarization
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Multi-thread Parsing for Recognizing Complex Events in Videos
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Moving object detection in the H.264/AVC compressed domain for video surveillance applications
Journal of Visual Communication and Image Representation
Crowdsourced automatic zoom and scroll for video retargeting
Proceedings of the international conference on Multimedia
An immersive system for browsing and visualizing surveillance video
Proceedings of the international conference on Multimedia
Online Principal Background Selection for Video Synopsis
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Automatic video activity detection using compressed domain motion trajectories for H.264 videos
Journal of Visual Communication and Image Representation
Biologically Inspired Features for Scene Classification in Video Surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Video object segmentation: a compressed domain approach
IEEE Transactions on Circuits and Systems for Video Technology
Modeling Background and Segmenting Moving Objects from Compressed Video
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Multimedia
Adaptive key frame extraction for video summarization using an aggregation mechanism
Journal of Visual Communication and Image Representation
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The traditional pixel-domain based video analysis methods have taken dominated places for long. However, due to the rapidly increasing volume and resolution of surveillance video, the desirable fast and scalable browsing encounters significant challenges in terms of efficiency and flexibility. Under this circumstance, operating surveillance video in compressed domain has aroused great concern in academy and industry. In order to perform the intelligent video analysis task on the premise of preserving accuracy and controlling complexity, this paper presents a compressed-domain approach for massive surveillance video synopsis generation, labeling and browsing. The main work and achievements include: (1) a compressed-domain scheme is established to condense the compressed surveillance video and record the synopsis results; (2) a background modeling method via the Motion Vector based Local Binary Pattern (MVLBP) is introduced to extract moving objects in an efficient way; (3) an object flags based synopsis labeling method is proposed to represent the object regions as well as their display modes in a flexible way. Experimental results show that the video analysis system based on this framework can provide not only efficient synopsis generation but also flexible scalable or playback browsing.