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Hierarchical feature learning based on convolutional neural networks (CNN) has recently shown significant potential in various computer vision tasks. While allowing high-quality discriminative feature learning, the downside of CNNs is the lack of explicit structure in features, which often leads to overfitting, absence of reconstruction from partial observations and limited generative abilities. Explicit...
In this paper, we focus on describing the method we designed for automatic perceived personality prediction. We present a simple model that uses three different sets of features: nonverbal audio cues, visual cues from video, and facial landmark points. The model uses a random decision forest to do regression from the extracted features. As we discuss in Section 4, this multimodal model performs relatively...
We consider the problem of object figure-ground segmentation when the object categories are not available during training (i.e. zero-shot). During training, we learn standard segmentation models for a handful of object categories (called “source objects”) using existing semantic segmentation datasets. During testing, we are given images of objects (called “target objects”) that are unseen during training...
The ability to automatically detect the extent of agreement or disagreement a person expresses is an important indicator of inter-personal relations and emotion expression. Most of existing methods for automated analysis of human agreement from audio-visual data perform agreement detection using either audio or visual modality of human interactions. However, this is suboptimal as expression of different...
The encoding method is an important factor for an action recognition pipeline. One of the key points for the encoding method is the assignment step. A very widely used super-vector encoding method is the vector of locally aggregated descriptors (VLAD), with very competitive results in many tasks. However, it considers only hard assignment and the criteria for the assignment is performed only from...
Judgments about personality based on facial appearance are strong effectors in social decision making, and are known to have impact on areas from presidential elections to jury decisions. Recent work has shown that it is possible to predict perception of memorability, trustworthiness, intelligence and other attributes in human face images. The most successful of these approaches require face images...
With the development of data science, the market of data also plays a significant role in the data mining domain gradually. This paper focus on how to use a visualization method based on contour map to seek the relationship between Data Jackets in order to create an innovative chance for data transaction. The analysis of results by questionnaires can illustrate the feasibility of this visualization...
The transformation of data into visuals that are as effective and engaging as possible for compelling presentation is an emerging topic in information visualization research. With this goal in mind, several data-analysis system approaches offer a higher-order network visualization that map insights rather than raw data. Knowledge visualization or externalization in the form of small, focused diagrams...
Educating students with disabilities is different from those without disabilities. Students with disabilities would require modifications and different methods of teaching thin the traditional method. Current learning methods in Malaysia make use of the traditional pencil-and-paper method, which is a hassle. Furthermore, the different styles of learning are often neglected. Although there are attempts...
The details of oriented visual stimuli are better resolved when they are horizontal or vertical rather than oblique. This "oblique effect" has been researched and confirmed in numerous research studies, including behavioral studies and neurophysiological and neuroimaging findings. Although the "oblique effect" has influence in many fields, little research integrated it into computational...
An effective change in Human Computer Interaction requires to account of how communication practices are transformed in different contexts, how users sense the interaction with a machine, and an efficient machine sensitivity in interpreting users' communicative signals, and activities. To this aims, the present paper investigates on whether and how positive and negative visual scenes may alter listeners'...
It is often needed to compress images with providing certain properties or quality. Wavelet based coders SPIHT and JPEG2000 easily produce a desired compression ratio but not quality especially if one deals with compressing images corrupted by noise for which specific behavior of quality metrics on compression ratio (CR) or bpp might be observed. In particular, optimal operation point (OOP) where...
This work presents the study of LOM-ES as standard metadata for accesibility and its correspondence with the standard model IMS, in order to facilitate the OER adaptability. This metadata is analized inside the virtual environment, the repositories and paths between them. OERs can get improvements or adaptations from comments about the accesibility originated on virtual environments. This contributes...
Scientific problems, related to the interaction between IT-services suppliers and consumers in the cloud environments, has been described. The analysis of quality metrics, used for IT-services estimation, has been carried out taking into account the specificity of the cloud infrastructure that focuses on large-scale scientific problems solving. The technique, used for the visual express quality estimation...
Evaluating collaborative information seeking can be challenging, often more than individual information seeking. This can be attributed to the complexity of the interaction as the study involves a number of users using the systems. While this is particularly important, but rather hard when the users employ different modalities accessing the systems. In this paper, we describe a semi-structured combination...
With the current emergence of the Internet, there is a need to securely transfer images between systems. In this context, we propose a secure image encryption algorithm that uses both AES and Visual Cryptographic techniques to protect the image. The image is encrypted using AES and an encoding schema has been proposed to convert the key into shares based on Visual Secret Sharing. The cryptanalysis...
Recent advances in signal processing for the detection of Steady-State Visual Evoked Potentials (SSVEPs) have moved away from traditionally calibrationless methods, such as canonical correlation analysis, and towards algorithms that require substantial training data. In general, this has improved detection rates, but SSVEP-based brain-computer interfaces (BCIs) now suffer from the requirement of costly...
While we recognize additional studies are needed to confirm repeatability and reliability in detecting normative and pathologic values, our methodology is an important step in demonstrating quantifiable measurements of the visual system as an indirect measurement of brain function.
Transcranial Alternating Current Stimulation (tACS) attracts more and more attention nowadays, especially in the territory of cognitive function. In this paper, we chose Mental Rotation Tasks as a reflex of the influence of this kind of electrical stimulation on motor imagery ability. As a result, we found that alpha and beta rhythm stimulation optimized response time, i.e. enhanced motor imagery...
Multimedia applications make researchers focus on the simultaneous effect of visual and auditory stimulation. Previous research revealed many facts about visual-auditory interaction. But the relationship between colors and pitch discrimination was hardly discussed. In this paper, the influence of colors on pitch discrimination of pure tones was investigated. Different color stimuli were used in subjective...
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