In this paper, we introduce a novel architecture for programmable network nodes that work with a large number of real-time video streams. We first discuss challenges in transmission of video streams over bandwidthlimited networks, followed by the active approach as an advance for streaming real-time video. In our model, each programmable node makes admission decision for video frames based on e...

In this study, we describe an integrated solution for video surveillance in a fortified environment. The focus of this study is on identification of real time objects on different environments. The system is composed of robust object detection module, which normally detects the presence of abandoned objects, concealed objects hidden inside the human clothing, objects in dark environment and per...

We present a method for generating a video of a talking face. The method takes as inputs: (i) still images of the target face, and (ii) an audio speech segment; and outputs a video of the target face lip synched with the audio. The method runs in real time and is applicable to faces and audio not seen at training time. To achieve this we propose an encoder-decoder CNN model that uses a joint em...

Video production involves the process of capturing, editing, and composing video segments for delivery to a consumer. A composition must yield a coherent presentation of an event or narrative. This process can be automated if appropriate domain-specific metadata are associated with video segments and composition techniques are established. Automation leads to the support of dynamic composition ...

|This paper describes hardware that has been built to compress video in real time using full-search vector quan-tization (VQ). This architecture implements a diierential-vector-quantization (DVQ) algorithm and features a special-purpose digital associative memory, the VAMPIRE chip, which has been fabricated in 2m CMOS. We describe the DVQ algorithm, its adaptations for sampled NTSC composite co...

In this paper we present the algorithm which allows us to have an object tracking close to real time in Full HD videos. The frame rate (FR) of a video stream is considered to be between 5 and 30 frames per second. The real time track building will be achieved if the algorithm can follow 5 or more frames per second. The principle idea is to use fast algorithms when doing preprocessing to obtain ...

Detecting humans in films and videos is a challenging problem owing to the motion of the subjects, the camera and the background and to variations in pose, appearance, clothing, illumination and background clutter. We develop a detector for standing and moving people in videos, testing several different motions coding schemes and showing empirically that orientated histograms give the best over...

This chapter arises from the discussions of an experienced international group of researchers interested in the potential for creative application of algorithms for searching finite discrete graphs, which have been highly successful in a wide range of application areas, to address a broad range of problems arising in video games. The chapter first summarises the state of the art in search algor...

We investigate the problem of obtaining a dense reconstruction in real-time, from a live video stream. In recent years, Multi-view stereo (MVS) has received considerable attention and a number of methods have been proposed. However, most methods operate under the assumption of a relatively sparse set of still images as input and unlimited computation time. Video based MVS has received less atte...