A network video encoder is a device that converts analog video signals into digital data that can be transmitted over IP networks. It compresses the video data using various standards, such as H ...

**Sequence to Sequence (often abbreviated to seq2seq) models is a special class of Recurrent Neural Network architectures that we typically use (but not restricted) to solve complex Language problems ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

In this paper, a novel Multimodal Encoder-Decoder Attention Networks (MEDAN) is proposed. The MEDAN consists of Multimodal Encoder-Decoder Attention (MEDA) layers cascaded in depth, and can capture ...

I'm trying to find a way to take input of a multicast video stream and present that stream to another piece of software as a physical video capture device. VLC can subscribe to the stream, so ...

The decoder generates the summary from the context vector produced by the encoder. Similar to the encoder, the decoder also uses LSTM layers, taking the context vector and a previous word (during ...

This paper investigates the ability of deep neural networks (DNNs) to predict a specific room impulse response (RIR) between two given room locations. We use three end-to-end deep learning (DL) models ...

With the MXnet Evolution II Encoder and Decoder, installations that do not systematically deploy Dante audio but segregate it to an independent network can now simplify long-haul transport cabling to ...