Introduction to a Transient World. Fourier Kingdom. Discrete Revolution. Time Meets Frequency. Frames. Wavelet Zoom. Wavelet Bases. Wavelet Packet and Local Cosine Bases. An Approximation Tour. Estimations are Approximations. Transform Coding. Appendix A: Mathematical Complements. Appendix B: Software Toolboxes.

http://ahvazdownload.persiangig.com/document/article/39.pdf

A wavelet tour of signal processing

On robust estimation of the location parameter

/pdf/the-scalable-video-coding-extension-of-the-h-264-avc-2pf4w9upmi.pdf

The Scalable Video Coding Extension of the H.264/AVC Standard

We present a multimodal data set for the analysis of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participants rated each video in terms of the levels of arousal, valence, like/dislike, dominance, and familiarity. For 22 of the 32 participants, frontal face video was also recorded. A novel method for stimuli selection is proposed using retrieval by affective tags from the last.fm website, video highlight detection, and an online assessment tool. An extensive analysis of the participants' ratings during the experiment is presented. Correlates between the EEG signal frequencies and the participants' ratings are investigated. Methods and results are presented for single-trial classification of arousal, valence, and like/dislike ratings using the modalities of EEG, peripheral physiological signals, and multimedia content analysis. Finally, decision fusion of the classification results from different modalities is performed. The data set is made publicly available and we encourage other researchers to use it for testing their own affective state estimation methods.

/pdf/deap-a-database-for-emotion-analysis-using-physiological-1b41jp6d2i.pdf

DEAP: A Database for Emotion Analysis ;Using Physiological Signals

http://pancamr.lecture.ub.ac.id/files/2012/02/A-survey-on-vision-based-human-action-recognition_Image-and-Vision-Computing_2010.pdf

A survey on vision-based human action recognition

Lagrangian theory provides a diverse set of tools for continuous motion analysis. Existing work shows the applicability of Lagrangian methods for video analysis in several aspects. In this paper we want to utilize the concept of Lagrangian measures to detect violent scenes. Therefore we propose a local feature based on the SIFT algorithm that incooperates appearance and Lagrangian based motion models. We will show that the temporal interval of the used motion information is a crucial aspect and study its influence on the classification performance. The proposed LaSIFT feature outperforms other state-of-the-art local features, in particular in uncontrolled realistic video data. We evaluate our algorithm with a bag-of-word approach. The experimental results show a significant improvement over the state-of-the-art on current violence detection datasets, i.e. Crowd Violence, Hockey Fight.

/pdf/a-local-feature-based-on-lagrangian-measures-for-violent-1nsakjukpj.pdf

A Local Feature based on Lagrangian Measures for Violent Video Classification

Coding artifacts in video codecs can be reduced using several spatial in-loop filters that are part of the emerging video coding standard High Efficiency Video Coding (HEVC). In this paper, we introduce the concept of global motion temporal filtering. A theoretical framework for a concept combining the temporal overlapping of several noisy versions of the same signal is introduced. This includes a model of the motion estimation error. As an important result, it is shown that an optimum number of frames N for filtering exists. An implementation of the concept based on several versions of the HEVC test model using global motion-compensated temporal filtering shows that significant gains can be achieved.

Adaptive Global Motion Temporal Filtering for High Efficiency Video Coding

We present an unsupervised motion-based object segmentation algorithm for video sequences with moving camera, employing bidirectional inter-frame change detection. For every frame, two error frames are generated using motion compensation. They are combined and a segmentation algorithm based on thresholding is applied. We employ a simple and effective error fusion scheme and consider spatial error localization in the thresholding step. We find the optimal weights for the weighted mean thresholding algorithm that enables unsupervised robust moving object segmentation. Further, a post processing step for improving the temporal consistency of the segmentation masks is incorporated and thus we achieve improved performance compared to the previously proposed methods. The experimental evaluation and comparison with other methods demonstrate the validity of the proposed method.

/pdf/motion-based-object-segmentation-using-hysteresis-and-4c9k958x8n.pdf

Motion-based object segmentation using hysteresis and bidirectional inter-frame change detection in sequences with moving camera

http://ieeexplore.ieee.org/iel7/7261654/7308642/07308658.pdf

The Avoidance of Visual Discomfort and Basic Rules for Producing “Good 3D” Pictures

We propose a scale-adaptive crowd detection and counting approach for drone images. Based on local feature points and density estimation considering the image scale, we detect dense crowds over multiple distances and introduce an extremely fast counting strategy with high accuracy for our detected crowd regions. We compare our results with a recent CNN-based state-of-the-art approach and validate both methods for different scaling factors on a novel crowd dataset. The results show that our proposed method outperforms the pre-trained CNN-based approach and receives very precise counting results for different zoom factors, resolutions and crowd sizes. Its low computational complexity makes it highly suitable for real-time analysis or embedded systems.

Thomas Sikora

Papers

A Local Feature based on Lagrangian Measures for Violent Video Classification

Adaptive Global Motion Temporal Filtering for High Efficiency Video Coding

Motion-based object segmentation using hysteresis and bidirectional inter-frame change detection in sequences with moving camera

The Avoidance of Visual Discomfort and Basic Rules for Producing “Good 3D” Pictures

Scale-Adaptive Real-Time Crowd Detection and Counting for Drone Images