14,304 research outputs found
A High performance and low power hardware architecture for H.264 cavlc algorithm
In this paper, we present a high performance and low power hard-ware architecture for real-time implementation of Context Adap-tive Variable Length Coding (CAVLC) algorithm used in H.264 / MPEG4 Part 10 video coding standard. This hardware is designed to be used as part of a complete low power H.264 video coding system for portable applications. The proposed architecture is im-plemented in Verilog HDL. The Verilog RTL code is verified to work at 76 MHz in a Xilinx Virtex II FPGA and it is verified to work at 233 MHz in a 0.18´ ASIC implementation. The FPGA and ASIC implementations can code 22 and 67 VGA frames (640x480) per second respectively
Full Resolution Image Compression with Recurrent Neural Networks
This paper presents a set of full-resolution lossy image compression methods
based on neural networks. Each of the architectures we describe can provide
variable compression rates during deployment without requiring retraining of
the network: each network need only be trained once. All of our architectures
consist of a recurrent neural network (RNN)-based encoder and decoder, a
binarizer, and a neural network for entropy coding. We compare RNN types (LSTM,
associative LSTM) and introduce a new hybrid of GRU and ResNet. We also study
"one-shot" versus additive reconstruction architectures and introduce a new
scaled-additive framework. We compare to previous work, showing improvements of
4.3%-8.8% AUC (area under the rate-distortion curve), depending on the
perceptual metric used. As far as we know, this is the first neural network
architecture that is able to outperform JPEG at image compression across most
bitrates on the rate-distortion curve on the Kodak dataset images, with and
without the aid of entropy coding.Comment: Updated with content for CVPR and removed supplemental material to an
external link for size limitation
Digital Image Access & Retrieval
The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this conference cover a wide range of topics concerning digital imaging technology for visual resource collections. Papers covered three general areas: (1) systems, planning, and implementation; (2) automatic and semi-automatic indexing; and (3) preservation with the bulk of the conference focusing on indexing and retrieval.published or submitted for publicatio
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