# Gibbs Sampling Strategies for Semantic Perception of Streaming Video Data

arXiv: https://arxiv.org/abs/1509.03242 · HTML: https://mlsanity.com/paper/1509.03242/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Sep 2015.

## Built on by (most cited first, 1 of 1)

- [Streaming Gaussian Dirichlet Random Fields for Spatial Predictions of High Dimensional Categorical Observations](https://mlsanity.com/paper/2402.15359/) (2024)

## Abstract (arXiv)

Topic modeling of streaming sensor data can be used for high level perception of the environment by a mobile robot. In this paper we compare various Gibbs sampling strategies for topic modeling of streaming spatiotemporal data, such as video captured by a mobile robot. Compared to previous work on online topic modeling, such as o-LDA and incremental LDA, we show that the proposed technique results in lower online and final perplexity, given the realtime constraints.