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With over one hundred thousand games apps, it's important to make a mobile game app stand out. The most basic way to do it is grabbing people attention through the icon. It's the first thing people see in apps store. It represents the face of the game. The mobile game app icon must communicate the right impression and the right message. This research studies the top grossing mobile games apps icons...
In this paper, we propose a new method for automatically generating textual descriptions of images. Our method consists of two main steps: Using saliency maps, it detects the areas of interests in the image, and then creates the description by recognizing the interactions between detected objects within those areas. These interactions are modeled using the pose (body parts configuration) of the objects...
Program comprehension procedure have been attracted a lot of attentions and have been investigated using a variant methodologies such as thinking aloud, summary analysis, and Eye-tracking. Program comprehension tools main objective is understanding source code which is substantial factor in software maintenance activities. Visualization is a popular approach in earning this understanding. This paper...
In this paper, we present an improved scene classification algorithm to classify scene images using region semantics and spatial context information. Unlike existing solutions that rely on predefined prototypes and inflexible spatial context information, we propose using the region semantics dictionary to represent the scene conveniently, which can handle a variety of region semantics, and to explore...
The quality of user experience online is affected by the relevance and placement of advertisements. We propose a new system for selecting and displaying visual advertisements in image search result sets. Our method compares the visual similarity of candidate ads to the image search results and selects the most visually similar ad to be displayed. The method further selects an appropriate location...
Land cover classification is a task that requires methods capable of learning high-level features while dealing with high volume of data. Overcoming these challenges, Convolutional Networks (ConvNets) can learn specific and adaptable features depending on the data while, at the same time, learn classifiers. In this work, we propose a novel technique to automatically perform pixel-wise land cover classification...
Human drivers continuously attend to important scene elements in order to safely and smoothly navigate in intricate environments and under uncertainty. This paper develops a human-centric framework for object recognition by analyzing a notion of object importance, as measured in a spatio-temporal context of driving a vehicle. Given a video, a main research question in this paper is - which of the...
Exhaustive scanning is a popular scheme for the detection of visual objects in images. In this paper, we propose a polyline-driven detection scheme with an application to stop sign detection. Given an input image, we first extract basic polylines, including line segments and 2-piece polylines, from its edge image. Line segments are then used to generate a set of hypothesis boxes, i.e., a space of...
Person re-identification, aiming to match a specific person among non-overlapping cameras, has attracted plenty of attention in recent years. It can be regarded as a visual retrieval task, namely given a query person image, ranking all gallery images according to their similarities to the query. Conventionally, this similarity function is learnt by forcing intra-distances to be small while inter-distances...
Understanding contextual information composed of both text and images is very useful for multimedia information processing. However, capturing such contexts is not trivial, especially while dealing with real datasets. Existing solutions such as using ontologies (e.g., WordNet) are mainly interested in individual terms, but they do not support identifying a group of terms that describe a specific context...
The evolvement of technology has made tremendous contribution in the field of education. Generally, technology of three-dimensional hologram (3DH) involve spatial displays which detaches the display technology from the user and integrate it into the real environment. This type of technology had been introduced with proven advantages for several decades especially in the field of digital art and medicine...
In this paper, a summary of various sensory technologies and interactions within them in wearable platforms is presented. In the first part of the paper, we discuss the way humans perceive various sensory inputs. Then, we review today's state of art sensor technologies for user interfaces, followed by discussions on opportunities uniquely enabled by the wearable form factor.
Human communicative behavior is both dynamic and bidirectional. This study aims to analyze such behavior by conducting imitative interactions between human subjects and a humanoid robot that has a neuro-dynamical system. For this purpose, we take a robot-centered approach in which the change in robot performance according to difference in human partner is analyzed, rather than adopting the typical...
Architecture defines relationships between bodies and space. It is through these relationships that object-subject hierarchies form, effecting human behavior and habitus1. It follows that, by manipulating perception, architecture re-orients or disorients object-subject relationships and breaks down social habitus by first breaking down the initial body image. The continuing research studies how immersive...
Concepts of 3-dimensional (3D) Geometry are challenging to grasp for school students. The skill of manipulating 3D objects and interpreting their structure and properties are difficult. Traditionally to teach topics that have three dimensions, 3D artifacts have been used. However the opportunity of the learner to interact during the construction and manipulation of 3D objects is desirable. In this...
There is an increasing need to quickly understand the contents log data. A wide range of patterns can be computed and provide valuable information: for example existence of repeated sequences of events or periodic behaviors. However patternminingtechniquesoftenproducemanypatternsthathave to be examined one by one, which is time consuming for experts. On the other hand, visualization techniques are...
A new approach is introduced in this paper for dynamic modeling and dimensionality reduction from time series of curves. For this purpose, a dynamic mixture of experts model whose regression coefficients evolve from curve to curve according to a Gaussian random walk over low dimensional factors, is proposed. The resulting model is neither else than a particular state-space model involving discrete...
Programming assignment specifications are typically communicated to learners as text in a natural language. These specifications may be ambiguous, and the problem can be compounded in a linguistically diverse country when learners or instructors lack fluency in the language of communication. In this paper, we propose an alternate way for instructors to specify intent that is suitable for certain types...
This study investigates the difference in tactile sensory response when touching leathers under tactile-only and visuo-tactile environment. Total of 7 tactile variables for leathers were selected and utilized to investigate whether they derive significantly different tactile response by existence of visual interaction. As a result, affective variables of ‘rugged’, ‘elastic’, and ‘thick’ showed significant...
This paper addresses the image retrieval problem of finding images in a large dataset that contain similar scenes or objects to a given query image. Often, this task is performed with the popular Bag-of-Words (BoW)-Model which quantizes local features such as SIFT for speeding up the retrieval by using an inverted file indexing scheme. We focus on the limits of the model for very large-scale datasets...
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