Invisible emotion magnification algorithm (IEMA) for real-time micro-expression recognition with graph-based features

Multimedia Tools and Applications - The interest in real-time micro-expression recognition has increased with the current trend in human-computer interaction applications. Presently, there are...     

Separable authentication in encrypted HEVC video

Multimedia Tools and Applications - A joint encryption and authentication scheme for HEVC compressed video is proposed in this work. It produces a HEVC format compliant video stream that permits...     

A scrambling framework for block transform compressed image

In this work, we propose a scrambling framework for block transform compressed image. First, three attacks are proposed to sketch the outline of the original image directly from its scrambled counterpart by exploiting information deduced from the transformed components. Based on the proposed sketch attacks, a scrambling framework aiming to minimize the bitstream size overhead and prevent the leakage of visual information is put forward. In particular, the DC components are manipulated within each non-overlapping region to achieve the scrambling while simultaneously reducing the bitstream size overhead. The non-DC components are shuffled and substituted to generate a completely distorted image while preventing information leakage. The ideas are implemented in JPEG to verify its performance and compare to that of the conventional JPEG based scrambling methods. Results indicate that the proposed methods exhibit stable performance in terms of the bitstream size overhead when using different quality factors, and it is able to withstand the proposed sketch attacks as well as the classical cryptographic attacks.

     

CUPSEED - A combined use of prediction syntax elements to embed data in SHVC video

Multimedia Tools and Applications - With the rapid advancement in digital technologies, video rises to become one of the most effective communication tools that continues to gain popularity and...     

Innovative lane detection method to increase the accuracy of lane departure warning system

Multimedia Tools and Applications - Lane departure warning is one important feature in Advanced Driver Assistance Systems (ADAS), which aims to improve overall safety on the road. However,...     

Software-based serverless endpoint video combiner architecture for high-definition multiparty video conferencing

This paper proposes an endpoint video combiner architecture in a multipoint control unit (MCU) system for high definition multiparty video conferencing. The proposed architecture addresses the current reliability, computational and quality drawbacks of a conventional centralized based video combiner architecture. This is achieved by redesigning the MCU video to move away the video combiner from the bridge and into the client endpoints. Moreover, the proposed architecture represents a serverless system and is able to scale a large number of clients at high resolutions in a multipoint video conferencing session. In order to realize this design, this paper also proposes a custom robust sustainable session management protocol which allows a dynamic multi-port management between the MCU video and client endpoints. In addition, the proposed custom session management protocol includes recommendation for a session protection structure. Experimental results suggest that the proposed architecture exhibits significant computational frame rate performance gains of up to 762.95% in comparison with the conventional centralized video combiner architecture based on a series of four and eight high definition combined video assessments. Moreover, reliability analysis suggests that the proposed architecture is also able to consistently sustain a high frame rate performance within a long duration high definition multipoint video conferencing session.