Supporting landmark image retrieval with skyline extraction techniques
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Supporting Landmark Image Retrieval with Skyline Extraction Techniques . Date : 2012 / 04 / 12 資訊碩一 10077034 蔡勇儀 @ LAB603 . Outline. Introduction Preliminaries Method Experimental result Conclusions. Introduction. Image retrieval have more challenge than text retrieval.

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Supporting landmark image retrieval with skyline extraction techniques

Supporting Landmark Image Retrieval with Skyline Extraction Techniques

Date :2012 / 04/ 12

資訊碩一 10077034 蔡勇儀 @LAB603


Outline
Outline Techniques

  • Introduction

  • Preliminaries

  • Method

  • Experimental result

  • Conclusions


Introduction
Introduction Techniques

  • Image retrieval have more challenge than text retrieval.

  • Use low-level feature to identify objects is non-trivial.

  • Skyline is a good feature to identify landmark contour.


Outline1
Outline Techniques

  • Introduction

  • Preliminaries

  • Method

  • Experimental result

  • Conclusions


Traditional image retrieval
Traditional image retrieval Techniques

  • Traditional techniques for image retrieval rely on some metadata (i.e., keywords or captions of image)

  • It isn’t a good method for practical applications since it is labor intensive and need more space.


Content based image retrieval
Content-based image Techniques retrieval

  • Content-based image retrieval(CBIR) is using image’s feature for retrieval.

  • Query-by-example

  • Query-by-sketch

  • Relevance feedback technique


Identifying landmarks with skylines
Identifying landmarks with skylines Techniques

  • Region-growing-based

    • Using same color region extend find the skylines

    • Weak robustness on the sky with cloud or complex background

  • Edge-based

    • Edge detection

    • Retaining the points which are luminous intensity change sharply

    • Using other method to find clear skyline.


Outline2
Outline Techniques

  • Introduction

  • Preliminaries

  • Method

  • Experimental result

  • Conclusions


Method 1 4 difficulties
Method(1/4) - Difficulties Techniques

  • Small portion of edge points constitute the proper skyline.

  • Skyline may not fully-connected.

  • Steep or tortuous.


Method 2 4 ron
Method(2/4) - RON Techniques

  • RON(radius of neighborhood)

    • Defining the search region

      (ex. RON = 2 -> grid zone = 5*5)

    • Solving the difficulties.


Method 3 4 direction priority
Method(3/4) – Direction priority Techniques

  • Using clockwise

    • Good direction for traversal skyline.


Method 4 4 find the skyline
Method(4/4) – Find the skyline Techniques

  • Using Sobel Filter for edge detection

  • Using DFS for search. (Need decide the start point?)


Outline3
Outline Techniques

  • Introduction

  • Preliminaries

  • Method

  • Experimental result

  • Conclusions


Experimental result
Experimental Result Techniques

  • DP VS This method ( O(n2) & O(n) )


Outline4
Outline Techniques

  • Introduction

  • Preliminaries

  • Method

  • Experimental result

  • Conclusions


Conclusions
Conclusions Techniques

  • This is a feasible for landmark image retrieval.

  • If there are more line cross the image?

  • If sky have complex object(ex. Light or cloud…)?

  • If the beginning point is not in skyline?

  • More problem need to solving…