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CBVR and Classification of Video Database–Latest Trends, Methods, Effective Techniques, Problems and Challenges

Mohd. Aasif, Hemlata Vasishtha
2015 International Journal of Computer Applications  
Videos can be represented by their audio, texts, faces and objects in their frames.  ...  An individual video possesses unique motion features, color histograms, motion histograms, text features, audio features, features extracted from faces and objects existing in its frames.  ...  Image retrieval methods and techniques can be used for key frame based video retrieval systems [1] . Low level visual features of key-frames are exploited for this purpose [9] .  ... 
doi:10.5120/ijca2015905932 fatcat:glifndua5zczrjznhbhhp2bvxy

PatchNet – Short-range Template Matching for Efficient Video Processing [article]

Huizi Mao, Sibo Zhu, Song Han, William J. Dally
2021 arXiv   pre-print
We demonstrate its application on two tasks, video object detection and visual object tracking.  ...  Object recognition is a fundamental problem in many video processing tasks, accurately locating seen objects at low computation cost paves the way for on-device video recognition.  ...  Efficient video object detection methods exploit the redundancy in consecutive frames to reduce computation cost.  ... 
arXiv:2103.07371v1 fatcat:ejzywqowrjexfcrpibje7vxsvm

Privacy protection vs. utility in visual data

Ádám Erdélyi, Thomas Winkler, Bernhard Rinner
2017 Multimedia tools and applications  
Protecting the privacy of visual data is particularly important due to the omnipresence of cameras, and various protection mechanisms for captured images and videos have been proposed.  ...  Our evaluation framework assesses the achieved privacy protection and utility by comparing the performance of standard computer vision tasks, such as object recognition, detection and tracking on protected  ...  This work was performed as part of the TrustEYE: Trustworthy Sensing and Cooperation in Visual Sensor Networks project [57] and received funding from the European Regional Development Fund (ERDF) and  ... 
doi:10.1007/s11042-016-4337-7 fatcat:cghdjyqi4badldhsxkmwddloxu

An Efficient Tracking of Multi Object Visual Motion using Hungarian Method

Nandashri D, Smitha P
2015 International Journal of Engineering Research and  
The tracking by detection method used to track the multiple objects visual motion by detecting the objects in the frames and observing the tracklets throughout the entire frame.  ...  the objects position, color and visual motion.  ...  We formulate a framework which assigns labels for individual objects in the input video frames.  ... 
doi:10.17577/ijertv4is041410 fatcat:y4mizvecxfdmxg6jxw5t4qe2hi

Detection and classification of wipe transitions in sport videos in presence of object motion

Salim Chavan, M Narayana, L Koteswara Rao,
2018 International Journal of Engineering & Technology  
Since last two decades, most of the researchers are involved in developing algorithms for detection of gradual transitions.  ...  Transition detection is the necessary step in retrieval and investigation of videos on the basis of contents.  ...  Kwang Deok Seo et al [16] proposed wipe detection algorithm based on visual rhyme spectrum in which authors suggested that Visual Rhythm Spectrum contains distinctive visual features for various video  ... 
doi:10.14419/ijet.v7i2.9111 fatcat:oqpch2whurbthfefvnb2vrie5e

Saliency-Enhanced Robust Visual Tracking [article]

Caglar Aytekin, Francesco Cricri, Emre Aksu
2018 arXiv   pre-print
Discrete correlation filter (DCF) based trackers have shown considerable success in visual object tracking.  ...  Deep salient object detection is one example of such high level features, as it make use of semantic information to highlight the important regions in the given scene.  ...  INTRODUCTION The aim of visual tracking is to successfully locate an object over time throughout a video.  ... 
arXiv:1802.02783v1 fatcat:bqsbx4rmbzetdlfzpxnmnkhsva

UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video

Wesley T. Honeycutt, Eli S. Bridge
2021 Journal of Imaging  
A framework capable of meeting these needs which reverses the steps in classic edge detection methods using the Canny filter for edge detection is presented here.  ...  Sample images taken from sequential frames of video footage were processed by subtraction, thresholding, Sobel edge detection, Gaussian blurring, and Zhang–Suen edge thinning to identify objects which  ...  Although for the sake of brevity, this paper only demonstrated the reversal of the Canny filter, the higher-level concept of reversing edge detection for framewise analysis of video would benefit from  ... 
doi:10.3390/jimaging7050077 pmid:34460673 pmcid:PMC8321341 doaj:f6aebcd3572b4262b73a0aba2f1b2845 fatcat:bcledfe4pvaixk6toxvfagwt5i

A Framework For Large-Scale Analysis Of Video "In The Wild" To Assist Digital Forensic Examination

Apostolos Axenopoulos, Volker Eiselein, Antonio Penta, Eugenia Koblents, Ernesto La Mattina, Petros Daras
2017 Zenodo  
image and video analysis, object detection and tracking and event detection.  ...  Digital forensics departments usually have to analyse vast amounts of audio-visual content, such as videos collected from street CCTV footage, hard drives or online resources.  ...  The authors would like to thank the London Metropolitan Police, UK, for providing the CCTV video footage and for giving permission to process the dataset for research purposes.  ... 
doi:10.5281/zenodo.1071749 fatcat:fdq74cdiurh3biqnsewscbjmdy

An Event-Driven Ultra-Low-Power Smart Visual Sensor

Manuele Rusci, Davide Rossi, Michela Lecca, Massimo Gottardi, Elisabetta Farella, Luca Benini
2016 IEEE Sensors Journal  
To extract high-level features, an event-driven approach is applied to the sensor data and optimized for parallel runtime execution.  ...  We demonstrate the capability of the smart camera on a moving object detection framework. The computational load is distributed among mixed-signal pixel and digital parallel processing.  ...  Processing visual signals is crucial for many applications such as video surveillance, traffic monitoring, people/object tracking, life assisted living.  ... 
doi:10.1109/jsen.2016.2556421 fatcat:iaj6xa3gj5dddmrtz5k5mttxj4

Robust Visual Object Tracking with Top-down Reasoning

Mengdan Zhang, Jiashi Feng, Weiming Hu
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
In this work, we propose to exploit the category-specific semantics to boost visual object tracking, and develop a new visual tracking model that augments the appearance based tracker with a top-down reasoning  ...  In addition, we develop a voting based scheme for the reasoning component to infer the object semantics.  ...  Here, a correlation filter [43] is exploited for appearance modeling.  ... 
doi:10.1145/3123266.3123449 dblp:conf/mm/ZhangFH17 fatcat:77j2apo4gfadblemtv65rssfl4

Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking [article]

Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei
2021 arXiv   pre-print
The proposed method exploits the fast 2D non-maximum suppression (NMS) algorithm and the semantic information comparison to detect challenging situations.  ...  In recent years, the background-aware correlation filters have achie-ved a lot of research interest in the visual target tracking.  ...  model representation in all video frames.  ... 
arXiv:2004.02932v2 fatcat:dbjgzsequvcpxgq2qlilv6rmbi

Bottom-up spatiotemporal visual attention model for video analysis

K. Rapantzikos, N. Tsapatsoulis, Y. Avrithis, S. Kollias
2007 IET Image Processing  
We propose a novel scheme for generating saliency in video sequences by taking into account both the spatial extent and dynamic evolution of regions.  ...  Towards this goal we extend a common image-oriented computational model of saliency-based visual attention to handle spatiotemporal analysis of video in a volumetric framework.  ...  level understanding of the visual scene.  ... 
doi:10.1049/iet-ipr:20060040 fatcat:bmg66b2uwnepxky6ykyffku6he

Spatio-temporal attention model for video content analysis

M. Guironnet, N. Guyader, D. Pellerin, P. Ladret
2005 IEEE International Conference on Image Processing 2005  
The static model is divided into two steps: a "retinal" filtering followed by a "cortical" decomposition. The moving object detection is carried out by a compensation of camera motion.  ...  Then we compare the attention model output for different videos with human judgment. A psychophysical experiment is proposed to compare the model with visual human perception and to validate it.  ...  ACKNOWLEDGMENT The authors would like to thank Christian Marendaz (Laboratoire de Psychologie et NeuroCognition, Grenoble, France) for having received us and let us use the material for the experiments  ... 
doi:10.1109/icip.2005.1530602 dblp:conf/icip/GuironnetGPL05 fatcat:yiwz2houonfszggeakqwtgqzvy

Enhancement of low quality degraded video using haar wavelet decomposition technique

Prajakta Sunil Gupta, Gadicha V.B
2017 International Journal of Recent Scientific Research  
Object detection involves locating objects in the frame of a video sequence.  ...  Dynamic range of denoised video is increased by adaptive adjustment of RGB histograms. The proposed method exploits color filter array (CFA) raw data for achieving low memory consumption.  ... 
doi:10.24327/ijrsr.2017.0803.0084 fatcat:qioyi5tqjveirle2zw2egvmu5e

Multilevel analysis of sports video sequences

Jungong Han, Dirk Farin, Peter H. N. de With, Edward Y. Chang, Alan Hanjalic, Nicu Sebe
2006 Multimedia Content Analysis, Management, and Retrieval 2006  
The proposed framework includes novel pixel-level and object-level tennis video processing algorithms, such as a moving-player detection taking both the color and the court (playing-field) information  ...  Additionally, we employ scene-level models for detecting events, like service, base-line rally and net-approach, based on a number real-world visual features.  ...  Results for Pixel and Object-Level Algorithms We evaluated our playing-frame detection algorithm, court-detection algorithm and player segmentation and tracking algorithm.  ... 
doi:10.1117/12.648849 fatcat:ddsmdftob5fxzma3ic73hufqgq
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