In this paper, we show that tracking multiple people whose paths may intersect can be
formulated as a convex global optimization problem. Our proposed framework is designed to …

Most video compression schemes like H. 264/AVC have a high-complexity encoder with a
block motion estimation (ME) engine and a low-complexity decoder. However, applications …

Distributed video coding (DVC) provides a different compression paradigm that consists of
lightweight encoder and complex decoder. This compression paradigm shed a light for …

We propose a mixed resolution framework based on full resolution key frames and spatial-
reduction-based Wyner-Ziv coding of intermediate nonreference frames. Improved rate …

We design a video encoding scheme that is suited for applications such as unmanned aerial
vehicle (UAV) video surveillance where the encoder complexity needs to be low. Our low …

Motion estimation methods based on differential techniques proved to be very useful in the
context of video analysis, but have a limited employment in classical video compression …

Abstract The Internet of Things (IoT) is becoming an increasingly growing topic of interest in
the research community. Its requirements meet those of the next generation 5G mobile …

To provide low-complexity encoding for video in unidirectional or offline compression
scenarios, this paper proposes an efficient feedback-channel-free distributed video coding …

This paper presents a novel algorithm for content adaptive GOP size control in distributed
video coding. The GOP size is dynamically varied along the sequence, depending on …

This work aims at improving the quality of the side information in distributed video coding. A
novel technique for the fusion of multiple side information is developed for this purpose …