System and method for scene graph lossless compression by context-based graph convolution

Abstract

A system and method for scene graph lossless compression based on context-based graph convolution comprises a prior encoding module, a first prior decoding module, a data encoding module located at the compressor side, a second prior decoding module, and a data decoding module located at the decompressor side; it extracts prior information from the original scene graph; for different data elements such as object location, object category, interaction relationship, and relation category, it applies different random distribution models with context-based graph convolutional neural networks to estimate the respective prior probabilities for arithmetic encoding and decoding; therefore, it can effectively exploit the contextual information within the scene graph data to perform more accurate probability prediction and thus achieve a better compression ratio.