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—In this work, a CTU level rate control algorithm is proposed for High Efficiency Video Coding (HEVC). On top of the CTU level rate control algorithm, an efficient bit allocation method considering the HEVC hierarchical coding structure is specifically designed. Instead of directly applying the rate distortion model at the CTU level, it's proposed to derive(More)
A frame level adaptive rate control scheme for the emerging High Efficiency Video Coding (HEVC) standard is proposed in this paper, where both rate model and distortion model are provided. For rate modeling, a new rate model is proposed based on the weighted complexity estimation of the previously encoded frames. For distortion modeling, the distortion is(More)
This paper gives a study on the rate distortion modeling for High Efficiency Video Coding (HEVC) and new rate distortion models are proposed by considering the coding framework change of HEVC. Although HEVC is also characterized by the traditional prediction/transform hybrid coding framework with more improved coding tools, e.g. large size coding unit (CU),(More)
This paper proposes a coding tree unit (CTU) level rate control for HEVC based on the Laplace distribution modeling of the transformed residuals. Firstly, we give a study on the relationship model among the optimal quantization step, the Laplace parameter and the Lagrange multiplier. Based on the relationship model, the quantization parameter for each CTU(More)
In this paper, we propose a new frame level rate control algorithm for the high efficiency video coding (HEVC) based 3D video (3DV) compression standard. In the proposed scheme, a new initial quantization parameter (QP) decision scheme is provided, and the bit allocation for each view is investigated to smooth the bitrate fluctuation and reach accurate rate(More)
This paper provides an overview of the mode dependent coding tools in the development of video coding technology. In video coding, the prediction mode is closely related with the local image statistical characteristics. For instance, the angular intra mode contains the oriented structure information and the interpartition mode can reveal the local texture(More)
This paper introduces a novel mechano-bio hybrid system that we are developing which incorporates auditory cortical responses from awake and unrestrained rats as a potential biological sensor signal for guided system locomotion. With the system we investigated the feasibility of extracting parameters from neural recordings that could be used to detect the(More)
A closed-loop brain-machine interface system (BMI) was implemented using freely-moving rats. Instead of reproducing continuous natural limb movements as in many other BMI work, abstract supervisory control commands such as Go left, Go right, were extracted from neurons in the motor and premotor areas of the rats brain. The control output was thus formulated(More)
While BMI systems abound, little care has been exercised over practical considerations in the day to day use of such systems. This paper proposes to learn a Start-Stop switch to augment a directional BMI. Taken together, the hope is that a BMI could be constructed that would be able to signal the appropriate directional intent when called upon and be(More)
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