We report our results on the THUMOS Challenge 2014 Action Recognition Task. Given an untrimmed video as input, our method recognizes its major action category in four main steps: (1) detect shot boundaries within the video; (2) decode pre-computed indices of iDTFs within each shot; (3) encode the recovered iDTFs into shot-wise fisher vectors and compute the shot-to-category classification score...

In this paper, we propose video classification using linear manifolds (affine subspaces). In our method, we represent videos belonging to a same class by several linear manifolds using k-varieties clustering. When a test video is given, each frame of it votes for the class to which its nearest linear manifold belongs. According to this voting, the test video is classified into the class that ac...

The increasing popularity of HTTP adaptive video streaming services has dramatically increased bandwidth requirements on operator networks, which attempt to shape their traffic through Deep Packet Inspection (DPI). However, Google and certain content providers have started to encrypt their video services. As a result, operators often encounter difficulties in shaping their encrypted video traff...

In this paper, we present a practical identification approach of video fragment for digital video files. Before analyzing the video content, we must decode it based on its encoding format first. In order to effectively identify the format of a fragment, a format classification is performed before the format identification. The methods of format classification and identification are discriminati...

As digital cameras become more affordable, digital video now plays an important role in medical education and healthcare. In this paper, we propose a novel framework to facilitate semantic classification of surgery education videos. Specifically, the framework includes: (a) Semantic-sensitive video content characterization via principal video shots. (b) Semantic video classification via a mixtu...

Current information and communication technologies provide the infrastructure to transport bits anywhere, but do not indicate how to easily and precisely access and/or route information at the semantic level. To facilitate intelligent access to the rich multimedia data over the Internet, we develop an on-line knowledgeand rule-based video classification system that supports automatic ‘‘indexing...

This chapter provides an overview of different video content modeling, retrieval and classification techniques employed in existing content-based video indexing and retrieval (CBVIR) systems. Based on the modeling requirements of a CBVIR system, we analyze and categorize existing modeling approaches. Starting with a review of video content modeling and representation techniques, we study view-i...

introduction: laryngeal dysfunction may be divided into three categories; organic, neurologic and functional disorders. dysphonia and hoarseness are the most common symptoms and, in some cases, the only signs of laryngeal dysfunction. in differential diagnosis of any type of chronic hoarseness, a neoplastic process must be considered and, thus continuous light video laryngoscopy can provide imp...

Accelerated by the tremendous increase in Internet bandwidth and storage space, video data has been generated, published and spread explosively, becoming an indispensable part of today's big data. In this paper, we focus on reviewing two lines of research aiming to stimulate the comprehension of videos with deep learning: video classification and video captioning. While video classification con...