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Classified Image Indexing for Content Based Retrieval

Thesis Info

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External Link

Author

Bashir, Muhammad Khawar

Program

PhD

Institute

University of Engineering and Technology

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/12138/1/Muhammad%20Khawar%20Bashir%20computer%20sci%202019%20uet%20lhr%20prr.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727714926

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Increased availability of devices with camera and rapid growth and development of the internet has enlarged image databases for individuals and organizations. It has raised a need for an effective and efficient approach for searching, browsing and retrieving images from large image databases of different fields of life e.g. medicine, economics, education, architecture, etc. This problem is being addressed using Content-Based Image Retrieval (CBIR) by developing the number of algorithms that use different kind of features that includes both low and high level features. These features are used to measure the similarity between images. But these features extraction and similarity measure approaches have many limitations that resulted in excessive response time and retrieval accuracy. CBIR mainly depends on extracted features from image contents and if possible, with semantic concepts. So, the semantic gap needs to be narrowed down while extracting features that can help in increasing retrieval accuracy. To minimize the retrieval time, instead of comparing features, we can transform features into deep hash codes. Comparing numbers takes less time than text or features. So, we can reduce the retrieval time by comparing the deep hash codes of query and database images. We proposed changes in the objective function of Convolutional Auto encoder to extract features while triplet loss function in the last layer to convert features to binary hash code with semantic preservation and similar code for same types of extracted features. This approach reduces the dimensions of the features to binary hash code length that make retrieval easier and faster. Proposed image retrieval system has been tested with different data sets and comparisons have been made with different loss functions and hashing approaches. Experimental results indicate the effectiveness of the proposed approach and show improved retrieval accuracy.
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مسافر قاہرہ کے ہوائی مستقر پر کھڑا اجازت لے رہا تھا ۔وقتِ رخصت ان کی آزردہ دلی مجھ سے دیکھی نہیں جا رہی تھی وطن واپسی کے لیے جہاز کے اڑان بھرنے سے چار گھنٹے پہلے مجھے ائیر پورٹ پہنچنا تھا ۔میں دو گھنٹے مزید پہلے پہنچا تھا ۔دکتورہ بسنت ،احمد صاحب ،، دکتورعلی،دکتورہ شائمہ اور باقی سارے دوستوں کے ساتھ مصر میں چھے دن اس قدر مصروف کہ وقت بیتنے کا احساس ہی نہیں ہوا اور اب رخصتی کے یہ چھے گھنٹے جیسے رک سے گئے ہیں ۔ سب کی محبت اور آنسوئوں سے لبریز آنکھیں میرا راستہ روک رہیں تھیں ۔دکتورہ بسنت کا ’’پھر کب آئو گے ‘‘والے سوال سے میرا پیچھا چھڑانا مشکل تھا۔ دکتورہ شائمہ کا مشورہ کہ ’’نیل کا پانی پی کر جائو جس نے بھی پیا واپس ضرور آیا ‘‘مصر سے میرے تعلق اور مراسم کے ایسے کچے دھاگے ہیں جن کی مضبوط گرفت سے خود کو آزاد کرانا مشکل ہو رہا تھا ۔کہا جاتا ہے کہ اہل مصر بے وفا ہوتے ہیں ،خود غرض ہوتے ہیں، حسب ضرورت و سہولت مراسم رکھتے ہیں مگر میں نے مصر اور اہل مصر کو وفادار انسان دوست اور ملنسار پایا ۔ اگر اہل مصر وفا شعار اور انسان دوست نہ ہوتے تو بازارِ مصر میں فروخت شدہ اور زندانِ زاویرا میں مقید رہنے والے حضرت یوسفؑ اپنے والد حضرت یعقوب ؑ اور اپنے اہل و عیال کو کنعان سے مصر مستقل سکونت کے لیے کیوں بلاتے ۔قاہرہ ائیر پورٹ کی انتظار گاہ کی کھڑکی سے روشن چاند واضح نظر آ رہا تھا یو ں لگ رہا تھا جیسے وادی سینا کے عقب سے چاند نے مصر کو منور کر نے کے لیے اپنے دودھیا اجالے کی پھوار پھینکی ہو ۔میں چشمِ تخیل سے ساحلوں ،ٹیلوں ،وادیوں...

Identification of Factors Contributing to Primary Female Subfertility by Diagnostic Hystero-Laparoscopy: An Experience of Private Hospital

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Natritional and Biochemical Assessment of Curcumin Based Designer Foods

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