Efficient visual content retrieval and mining in videos by Sivic, J, Zisserman, A

“…The first is to efficient object retrieval where the technology of text retrieval, such as inverted file systems, can be employed at run time to return all shots containing the object in a manner, and with a speed, similar to a Google search for text. …”

Environmental enrichment preconditioning prevents chronic social defeat stress-induced memory impairment and hippocampal neurodegeneration by Nik Ramli, Nik Nasihah, Shamsul Adzmi, Nur Adzreen, Nasarudin, Siti Nur Atiqah Zulaikah, Hashim, Mohamad Hisham

“…Memory and learning functions were evaluated through the Y-maze and novel object recognition (NOR) tests. Brain tissues were subjected to Hematoxylin and Eosin staining to examine histological alterations in the hippocampal region. …”
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Android application for capturing personal data on name card using OCR by Tan, Woon Pang

“…Moreover, the author also had to research and evaluate for viable free software’s or Application Programming Interface (API) (e.g. Optical Character Recognition (OCR), Natural Language Processing (NLP) and Name Entry Normalization function to determine multiple person’s name entry probability) on the commercial market that can extract free-form text with relatively high accuracy and disambiguate free-form text for unique data fields (e.g. …”
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Single-histogram class models for image segmentation by Schroff, F, Criminisi, A, Zisserman, A

“…<p>Histograms of visual words (or textons) have proved effective in tasks such as image classification and object class recognition. A common approach is to represent an object class by a set of histograms, each one corresponding to a training exemplar. …”

HST.723 Neural Coding and Perception of Sound, Spring 2003 by Delgutte, Bertrand, Brown, Merritt Christian, Guinan, John Joseph, Melcher, Jennifer R., Oxenham, Andrew J., Brown, M. Christian, Melcher, Jennifer R.

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Audio-based approaches in tuning retrieval of gamelan ensemble by Hamdan, Sinin

“…The bonang's sound profile has distinct characteristics, indicating a high recognition rate. The spectrogram revealed a simple fundamental frequency indicated by the brightest colours. …”
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Mixed tree nuts, cognition and gut microbiota: a 4-week, placebo-controlled, randomized crossover trial in healthy non-elderly adults by Haskell-Ramsay, Crystal, Dodd, Fiona L., Smith, Darren, Cuthbertson, Lewis, Nelson, Andrew, Lodge, John K., Jackson, Philippa A.

“…No correlations were observed between the changes to picture recognition and the changes to the unclassified Lachnospiraceae ASV. …”
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Video summarization of person of interest (POI) by Lit, Laura Pei Lin

“…Keywords: Convolutional Neural Network, Face Detection, Face Recognition, Object detection, Video Summarization, You Only Look Once…”
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Meta-cognitive learning algorithm for neuro-fuzzy inference systems by Kartick Subramanian

“…In the literature of action recognition, it has been shown that optical flow based features can capture apparent movement in object naturally. …”
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Visual search using deep learning by Teo, Peggy

“…Object recognition has become an extremely popular topic in today’s world as it is one of the core problems in computer vision. …”
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Side scan sonar in inland water survey by Sreekanth Koti Ananda Rao.

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Fisher vector faces in the wild by Simonyan, K, Parkhi, O, Vedaldi, A, Zisserman, A

“…<br> This paper makes two contributions: first, and somewhat surprisingly, we show that Fisher vectors on densely sampled SIFT features, i.e. an off-the-shelf object recognition representation, are capable of achieving state-of-the-art face verification performance on the challenging “Labeled Faces in the Wild” benchmark; second, since Fisher vectors are very high dimensional, we show that a compact descriptor can be learnt from them using discriminative metric learning. …”

Spatio-temporal enhanced sparse feature selection for video saliency estimation by Luo, Ye, Tian, Qi

“…Video saliency mechanism is crucial in the human visual system and helpful to object detection and recognition. In this paper we propose a novel video saliency model that video saliency should be both consistently salient among consecutive frames and temporally novel due to motion or appearance changes. …”
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Night vision with unmanned surface vehicle (USV) by Ang, Claryl Hui Ern

“…The types of object detection algorithms are Histogram of oriented gradients(HOG), Convolutional Neural Networks (CNNs) and You Only Look Once (YOLO).…”
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Learning to count anything: reference-less class-agnostic counting with weak supervision by Hobley, M, Prisacariu, V

“…Current class-agnostic counting methods can generalise to unseen classes but usually require reference images to define the type of object to be counted, as well as instance annotations during training. …”

Automated image quality assessment and its applications in computer vision by Zhou, Phoebe Huixin

“…These results provide strong indications that IQA models can be implemented as part of practical image acquisition systems, to improve the reliability of downstream object detection and related pattern recognition pipelines. …”
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Development of a system to analyze fake news by Sankpal, Shibani Prashant

“…The analysis of the fake news articles in the web application has also expanded with the inclusion of sentiment analysis, text summarization and Named Entity Recognition. …”
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Projective reconstruction of surfaces of revolution by Utcke, S, Zisserman, A

“…This is however sufficient for 3D reconstruction up to a 2 DOF transformation, for recognition of objects, and for transfer between views. …”

Spin-UP: spin light for natural light uncalibrated photometric stereo by Li, Zongrui, Lu, Zhan, Yan, Haojie, Shi, Boxin, Pan, Gang, Zheng, Qian, Jiang, Xudong

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Visual analytics using artificial intelligence : visual events classifier using deep learning by Ong, Kian Kuan

“…As the scope of image recognition is non exhaustive, a specific recognition task has to be defined. …”
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