---
title: "A Region-Analysis Subsystem For Interactive Scene Analysis"
authors:
  - "Jay M. Tenenbaum"
  - "S. Weyl"
doi: ""
url: "https://ijcai.org/proceedings/1975/108"
pdf: "https://ijcai.org/proceedings/1975/0108.pdf"
venue: "Proceedings of the Fourth International Joint Conference on Artificial Intelligence"
year: 1975
pages: "682-686"
track: "Visual Information Processing"
keywords:
---

# A Region-Analysis Subsystem For Interactive Scene Analysis

Jay M. Tenenbaum, S. Weyl

*Proceedings of the Fourth International Joint Conference on Artificial Intelligence*, pages 682-686.

## Abstract

An Interactive Scene Interpretation Syste• (ISIS) is being developed by Stanford Research Institute's Artificial Intelligence Center as a tool for constructing and experimenting with manmachine and automatic scene analysis methods tailored for particular image domains. A region analysis subsystem was developed recently based on the work of Brice and Fennema, and Yakiaovsky. Using this subsystem a series of experiments was c~nducted to determine good criteria for initially partitioning a scene into atomic regions and merging these regions into a final partition of the scene along object boundaries. Semantic (proble.dependent) knowledge is essential for complete, correct partitions of complex real-world scenes. An interactive approach to semantic scene segaentation was developed and demonstrated on both landscape and indoor scenes. This approach provides a reasonable methodology for segmenting s99nes that cannot be processed completely automatically at present and is a promising basis for a future fully automatic system.