حدیثِ خواب گویم
سفر نامے کے بنیادی لوازمات میں سے ایک سفر بھی ہے ۔جب کہ اس میں برتی جانے والی پابندیوں میں سب سے اہم فسوں گری اور مبالغے سے اجتناب ہے۔ یہ لوازمات اور پابندیاں کسی اور ملک کے سفر پر نکلے سفر نامہ نگار کے لیے زیادہ مشکل نہ ہوں مگر سفر اگر مصر کا ہو تو سفر نامہ نگار کے لیے یہ دو دھاری تلوار پر چلنے سے کم نہیں۔
مصری تہذیب کی حقیقت جس قدر مسلمہ ہے اس قدر فسوں آمیز۔ یہاں کے نظارے اس حد تک تحیر آمیز ہیں کہ ان پر بات کرنی اور اس پر تحریر کرتے وقت طلسماتی ارتعاش اور فینتاسی سے خود کو الگ کرنا ممکن ہی نہیں ہوتا۔
فوق الفطری ماحول اور فضا، قصہ در قصہ بنیادی حقیقت اور واقعے کے ساتھ ضمنی کہانیاں ،غیر مرئی حقیقت ،انسانوں کے علاوہ جانوروں اور چرند پرند سے منسلک واقعات، مرکزی کرداروں کی غیر معمولی طاقت اور حیثیت ،معاون کرداروں کی فوجِ ظفر موج، مشکلات، رکاوٹوں کاذکر، مذہبی اور دینی عقاید و تجربات ،آسمانی اور انسانی قوانین کا ذکر اور نفاذ غرض وہ تمام لوازمات جو کسی افسانوی تحریر کے خاصے ہوتے ہیں ، مصر پر لکھے سفر نامے کے بنیادی شرائط و لوازم بن جاتے ہیں۔
ان ہی لوازمات کی وجہ سے سفر نامہ داستان اور فسوں گری کا لبادہ اوڑھ لیتا ہے۔ لکھاری تہذیبی، تاریخی اور ذاتی داخلیت کا شکار ہو جاتا ہے۔ مسافر کے ساتھ بھی اس سفر پر کچھ ایسا ہی ہوا۔ جہاں بھی گیا حقیقتیں، حسین تخیل اور سچائیاں فینتاسی کا روپ دھار لیتیں، چاہے یہ حقیقتیں فراعینِ مصر کی ہوں یا یہ سچائیاں وادیٔ سینا کی طلسماتی فضا کی ہوں جہاں ریب و تکذیب کی گنجائش نہ ہوتے ہوئے بھی میری فکر افسوں اور بالعکس فسوں کے ساتھ ابہام و سحر کی خواب...
Higher education for women is one of the major issues in Pakistan especially in Peshawar, Khyber Pakhtunkhwa. Most of the girls quit their education at higher secondary or intermediate level, which is a negative sign both for productivity and financial system of our society. Higher education not only increases critical and rational thinking, general knowledge, ways of living, financial status of a family but also common sense. The need of higher education is more for women as they are responsible for the bringing-up of a family; unfortunately, the ratio of the higher education among women in Peshawar is decreasing, which is the point of discussion in this study. This research made an attempt to consider the possible reasons behind the issues related to the women’s higher education in Peshawar. Data was collected through Questionnaire and further analyzed by employing ANOVA. The results revealed that there are different social and cultural issues due to which higher education of women in Peshawar is not promoted; however, the increase in the enrolment of the female students has witnessed an increase. Government may make extra efforts to promote the education of women as it directly affects families in particular and societies in general.
Content-based image retrieval (CBIR) techniques are used to retrieve similar images from image repositories by utilizing the visual contents of the images. From last few years, bagof- visual-words (BoVW) model is most commonly used for image retrieval and got promising results in terms of accuracy and effectiveness. However, BoVW model still has some problems, such as an image is represented as an orderless global histogram of visual words that neglects the spatial layout of the image. Spatial information is an important component that provides discriminating details for accurate retrieval of images. In this thesis, three novel approaches for image representations are presented by the selection of appropriate semantic regions of an image by constructing histograms of visual words. The standard image databases are used to determine the efficiency of proposed approaches. Following approaches are presented in this dissertation: A novel image representation is presented using the characteristics of local and global information in the form of histograms of visual words. The global information is obtained by constructing the histogram of visual words over the whole image, while the histogram of visual words for local information is constructed over the local rectangular region of the image. The local histogram represents the spatial information of salient objects. In order to verify the performance of the proposed approach, a number of experiments are conducted on the standard image databases (Corel-A, Caltech-256, and Ground truth). The results show that the proposed image representation significantly enhance the effectiveness of image retrieval. Based on the semantic similarity in an image, another image representation is proposed by constructing the histograms of visual words by splitting an image into two rectangular regions that add the spatial information to the inverted index of the BoVW based image representation. By utilizing this phenomenon of image representation, different visual words for upper and lower rectangular regions of an image are obtained for better image retrieval performance. For the verification of proposed approach, extensive experiments are conducted vii on Corel-A, and Ground truth image databases, proof the robustness of the proposed approach. In order to overcome the problems of overfitting on large dictionary sizes, lack of spatial information, and to reduce the computational cost, a new image representation based on the weighted average of triangular histograms (WATH) is also introduced. The image is divided into four triangular regions in order to incorporate the spatial information to the inverted index of the BoVW based image representation, and a histogram of visual words are computed from each triangular region. An appropriate weight is assigned to each histogram in order to eliminate the aforementioned problems. The assigned weight reduces; the size of the dictionary by reducing the non-salient visual words, and the computational cost. The proposed approach also provide the consistent performance on large dictionary sizes. The quantitative and qualitative analysis conducted on two image databases (Corel-A and Corel- 1500) shows the robustness of the proposed approach among the recent image retrieval approaches. Keywords: Content-based image retrieval (CBIR); Bag-of-visual-words (BoVW); Local and global histograms; Rectangular spatial histograms; Weighted triangular histograms.