Post on 17-Jan-2017
1
Query Expansion Based on Visual Content
Lazaros T. Tsochatzidis
Athanasios Ch. Kapoutsis
Nikolaos I. Dourvas
Savvas A. Chatzichristofis
Yiannis S. Boutalis
Monday, May 1, 2023
Department of Electrical and Computer Engineering Democritus University of Thrace
Monday, May 1, 2023 2
How the today’s web search engines work?
Keywords (from the user)Metadata (keywords, tags, any other
information)
compare
Is everything working fine?
Monday, May 1, 2023 3
The Problems
Ordinary image search is based on metadata, sometimes irrelative or missing
Very difficult to describe(using textual query) the image exactly as it is
Monday, May 1, 2023 4
Our goal… is to reduce the sematic gap between “What” the user wants to find and “How” he describes it.
Monday, May 1, 2023 5
How does TsoKaDo work?
Monday, May 1, 2023 6
CEDD(Color and Edge Directivity Descriptor)
Monday, May 1, 2023 7
What is it?
Belongs to the family of Compact Composite Descriptors (CCD’s)
Describes color and texture of an image.Used for searching and retrieving images
from multimedia databases.
WHY?The results are very effective.It is very light and fast as it used only 54
bytes per image
Monday, May 1, 2023 8
Function of CEDD For the color:2 fuzzy systems map the color of the
image in a 24-color palette.
For the texture:Using a fuzzy version of the five digital
filters proposed by MPEG-7 Edge Histogram Descriptor
Monday, May 1, 2023 9
Classification
Monday, May 1, 2023 10
ClassificationSGONGThe Self Growing and Self Organized Neural Gas Network (SGONG) Innovative neural classifier Dynamically defines the number of classes
needed
K-means N observations into k clusters Criterion: Each observation belongs to the
cluster with the nearest mean.
Monday, May 1, 2023 11
The proposed tags
Monday, May 1, 2023 12
Semantic similaritySemantic similarityThe definition of it relates to
computing the conceptual similarity between terms that are not lexicography similar
Why we use it?It reduces the amount of proposed
tags and gives more corresponding results.
Monday, May 1, 2023 13
WORDNETA lexical database which provides a large
repository of English lexical terms.
How it works?Parts Of Speech (POS) →
noun,verb,adjective, adverb.Establishes connection between POS and
groups them into “synsets”.“Sense” → A group of synset. .Represents
different meaning of the same term.
Monday, May 1, 2023 14
The “Path length” measurement
Wu and Palmer method
Monday, May 1, 2023 15
Tsokado in action
Monday, May 1, 2023 16
Problems And ObstaclesCEDD is based only in color and texture
of the image
Noisy tags at Flickr (human imported): Irrelevant tags
Time consuming when using Wordnet.
Monday, May 1, 2023 17
Solutions and future workUse of Visual Words instead of CEDD
for better semantic classification
Fetching of tags from more reliable sources (e.g. Wikipedia)
Use of EuroWordnet, a multilanguage version.
Monday, May 1, 2023 18
Are there any ?'s
Please visit:http://tsokado.nonrelevant.net