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Semantics In Digital Photos A Contenxtual Analysis

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AllenWu
AllenWu

Interpreting the semantics of an image is a hard problem. However, for storing and indexing large multimedia collections, it is essential to build systems that can automatically extract semantics from images. In this research we show how we can fuse content and context to extract semantics from digital photographs. Our experiments show that if we can properly model context associated with media, we can interpret semantics using only a part of high dimensional content data.

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Semantics in Digital Photos: a Contenxtual Analysis Author / Pinaki Sinha, Ramesh Jain Conference / The IEEE International Conference on Semantic Computing, 2008, p58. – p.65 Presenter / Meng-Lun, Wu
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object]
Introduction (cont.)
Introduction (cont.) ,[object Object],[object Object]
Related Work ,[object Object],[object Object],[object Object],[object Object]
Related Work (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Optical Context Layer ,[object Object],[object Object],[object Object]
Photo Clustering ,[object Object],[object Object]
Photo Clustering (cont.) ,[object Object],[object Object],Image ? Optical
Photo Clustering (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Photo Clustering (cont.) ,[object Object],[object Object]
Photo Clustering (cont.) ,[object Object]
Photo Classification ,[object Object],[object Object],[object Object]
Photo Classification (cont.) ,[object Object],[object Object]
Photo Classification (cont.)
Annotation in Digital Photos ,[object Object],[object Object],[object Object],[object Object]
Annotation in Digital Photos (cont.) ,[object Object],[object Object],[object Object]
Annotation in Digital Photos (cont.) ,[object Object],[object Object],[object Object]
Annotation in Digital Photos (cont.) ,[object Object],[object Object],[object Object]
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The number of correctly tag. The number of photos annotated with that tag in the real data. The number of prediction tag.
Results ( cont. ) ,[object Object],[object Object],[object Object],[object Object]
Using Ontology to Improve Tagging ,[object Object],[object Object]
Using Ontology to Improve Tagging ,[object Object]
Results (cont.)
Conclusion ,[object Object],[object Object],[object Object],[object Object]

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Semantics In Digital Photos A Contenxtual Analysis

Hinweis der Redaktion

  1. Global features: color, texture, shapes Local features: edges, salient points, objects
  2. B 是在像素特徵空間的隨機變數。