Semantic Sketch-Based Video Retrieval with Autocompletion

The IMOTION system is a content-based video search engine that provides fast and intuitive known item search in large video collections. User interaction consists mainly of sketching, which the system recognizes in real-time and makes suggestions based on both visual appearance of the sketch (what does the sketch look like in terms of colors, edge distribution, etc.) and semantic content (what object is the user sketching). The latter is enabled by a predictive sketch-based UI that identifies likely candidates for the sketched object via state-of-the-art sketch recognition techniques and offers on-screen completion suggestions. In this demo, we show how the sketch-based video retrieval of the IMOTION system is used in a collection of roughly 30,000 video shots. The system indexes collection data with over 30 visual features describing color, edge, motion, and semantic information. Resulting feature data is stored in ADAM, an efficient database system optimized for fast retrieval

Research and Science Today Supplement No.1(3)/2012

Research and Science Today Journal is a publication founded in 2011 and it is dedicated to the students of all levels (license, master and doctoral) of faculties in the country and abroad. We want to offer the participants the opportunity to present their scientific works in the following areas: Social Sciences, Economic Sciences, Legal Sciences, Humanities, Education Sciences, Engineering, Medicine and Sport. This journal provides students the opportunity to create and / or to improve their abilities to write scientific papers. So each appearance (two appearances per year at which we can add supplements) contains a number of papers written by students, masters and doctoral from the faculties from the country or / and abroad. The journal promotes original studies contributing to the progress of knowledge and it is motivated by the need to address issues of theory and practice in the areas mentioned above. The Journal is a training means of the factors involved in the conceptualization, development, implementation and evaluation , aiming the formation of creative personalities who could be able to adapt through the changing conditions of life. Journal wants to be a forum for debates disciplinaries and interdisciplinaries theoretical topics, to become a research support, to leverage this work at regional, national and international levels. We believe that this gathering will enjoy the support from both parts of the researchers and of the practitioners, and will provide appropriate training sources held professional through the current problems

Research and Science Today Supplement No.1(3)/2012

Research and Science Today Journal is a publication founded in 2011 and it is dedicated to the students of all levels (license, master and doctoral) of faculties in the country and abroad. We want to offer the participants the opportunity to present their scientific works in the following areas: Social Sciences, Economic Sciences, Legal Sciences, Humanities, Education Sciences, Engineering, Medicine and Sport. This journal provides students the opportunity to create and / or to improve their abilities to write scientific papers. So each appearance (two appearances per year at which we can add supplements) contains a number of papers written by students, masters and doctoral from the faculties from the country or / and abroad. The journal promotes original studies contributing to the progress of knowledge and it is motivated by the need to address issues of theory and practice in the areas mentioned above. The Journal is a training means of the factors involved in the conceptualization, development, implementation and evaluation , aiming the formation of creative personalities who could be able to adapt through the changing conditions of life. Journal wants to be a forum for debates disciplinaries and interdisciplinaries theoretical topics, to become a research support, to leverage this work at regional, national and international levels. We believe that this gathering will enjoy the support from both parts of the researchers and of the practitioners, and will provide appropriate training sources held professional through the current problems

Dealing with ambiguous Queries in Multimodal Video Retrieval

Dealing with ambiguous queries is an important challenge in information retrieval (IR). While this problem is well understood in text retrieval, this is not the case in video retrieval, especially when multi-modal queries have to be considered as for instance in Query-by-Example or Query-by-Sketch. Systems supporting such query types usually consider dedicated features for the different modalities. This can be intrinsic object features like color, edge, or texture for the visual modality or motion for the kinesthetic modality. Sketch-based queries are naturally inclined to be ambiguous as they lack specification in some information channels. In this case, the IR system has to deal with the lack of information in a query, as it cannot deduce whether this information should be absent in the result or whether it has simply not been specified, and needs to properly select the features to be considered. In this paper, we present an approach that deals with such ambiguous queries in sketch-based multimodal video retrieval. This approach anticipates the intent(s) of a user based on the information specified in a query and accordingly selects the features to be considered for query execution. We have evaluated our approach based on Cineast, a sketch-based video retrieval system. The evaluation results show that disregarding certain features based on the anticipated query intent(s) can lead to an increase in retrieval quality of more than 25% over a generic query execution strategy

The vitrivr System at TRECVID 2016: The Ad-Hoc Video Search Task

In this paper, we describe the details of our participation to the TRECVID Ad-Hoc Video Search (AVS) 2016 with the vitrivr system

Searching in Video Collections using Sketches and Sample Images - The Cineast System

With the increasing omnipresence of video recording devices and the resulting abundance of digital video, finding a particular video sequence in ever-growing collections is more and more becoming a major challenge. Existing approaches to retrieve videos based on their content usually require prior knowledge about the origin and context of a particular video to work properly. Therefore, most state of the art video platforms still rely on text-based retrieval techniques to find desired sequences. In this paper, we present Cineast, a content-based video retrieval engine which retrieves video sequences based on their visual content. It supports Query-by-Example as well as Query-by-Sketch by using a multitude of low-level visual features in parallel. Cineast uses a collection of 200 videos from various genres with a combined length of nearly 20 hrs

Enhanced Retrieval and Browsing in the IMOTION System

This paper presents the IMOTION system in its third version. While still focusing on sketch-based retrieval, we improved upon the semantic retrieval capabilities introduced in the previous version by adding more detectors and improving the interface for semantic query specication. In addition to previous year's system, we increase the role of features obtained from Deep Neural Networks in three areas: semantic class labels for more entry-level concepts, hidden layer activation vectors for query-by-example and 2D semantic similarity results display. The new graph-based result navigation interface further enriches the system's browsing capabilities. The updated database storage system ADAMpro designed from the ground up for large scale multimedia applications ensures the scalability to steadily growing collections

The IMOTION System at TRECVID 2016: The Ad-Hoc Video Search Task

In this paper, we describe the details of our participation to the TRECVID Ad-Hoc Video Search (AVS) 2016 with the IMOTION system

Assessing the Adoption of Mobile Technology for Commerce by Generation Z

E-commerce has gained momentum with the rapid development of technology, and nowadays, we are permanently connected, with constant access to information and a wide range of products. Not only does a desktop computer offer us this possibility, but the latest-generation tablets and mobile phones create a broad framework. This paper investigates Romanian consumers’ attitudes towards adopting mobile technology for commerce (m-commerce), taking into account its development in the last few years, especially among younger generations. The main objectives of the research are to identify the preference for m-commerce use among Generation Z, establish the ways and the devices used by Gen Z individuals to inform about the products and services and order them, and analyze the factors influencing the use of m-commerce applications. The research methodology consists of conducting an empirical analysis using a distributed survey among youngsters from Generation Z in Romania. We used descriptive statistics, such as the analysis of frequency and the mean of variables, artificial neural network analysis (ANN), and multivariate analysis of variance (MANOVA), to validate the hypotheses. The research results indicate a solid inclination for m-commerce among Generation Z. The results are helpful for companies that can shape their marketing strategies to boost their sales using m-commerce channels among the younger population