Visual Question Answering (VQA) is a challenging task that has received increasing attention from both the computer vision and the natural language processing communities. Given an image and a question in natural language, it requires reasoning over visual elements of the image and general knowledge to infer the correct answer. In the first part of this survey, we examine the state of the art b...

The scene Text Recognition process has become a hot research topic and challenging task owing to the complicated background, varying light intensities, colors, font styles, sizes. extraction from natural images encompasses two main processes: text detection recognition. latest advancements in Machine Learning (ML) Deep (DL) concepts can effectually automate recognition by training model properl...

According to statistics, there are 422 million speakers of the Arabic language. Islam is second-largest religion in world, and its followers constitute approximately 25% world’s population. Since Holy Quran Arabic, nearly all Muslims understand language per some analytical information. Many countries have as their native official well. In recent years, number internet users speaking has been in...

Our visual perceptions are guided both by the bottom-­‐up information entering our eyes as well as our top-­‐down expectations of what we will see. Although bottom-­‐up visual processing has been extensively studied, comparatively little is known about top-­‐down signals. Here, we describe REVEAL (Representations Envisioned Via Evolutionary ALgorithm), a method for visualizing an observer's int...

During natural vision, humans categorize the scenes they encounter: an office, the beach, and so on. These categories are informed by knowledge of the way that objects co-occur in natural scenes. How does the human brain aggregate information about objects to represent scene categories? To explore this issue, we used statistical learning methods to learn categories that objectively capture the ...