An Explorative Study of Virtual Product Placement

Author(s):  
Chia-Hu Chang ◽  
Ja-Ling Wu

With the aid of content-based multimedia analysis, virtual product placement opens up new opportunities for advertisers to effectively monetize the existing videos in an efficient way. In addition, a number of significant and challenging issues are raising accordingly, such as how to less-intrusively insert the contextually relevant advertising message (what) at the right place (where) and the right time (when) with the attractive representation (how) in the videos. In this chapter, domain knowledge in support of delivering and receiving the advertising message is introduced, such as the advertising theory, psychology and computational aesthetics. We briefly review the state of the art techniques for assisting virtual product placement in videos. In addition, we present a framework to serve the virtual spotlighted advertising (ViSA) for virtual product placement and give an explorative study of it. Moreover, observations about the new trend and possible extension in the design space of virtual product placement will also be stated and discussed. We believe that it would inspire the researchers to develop more interesting and applicable multimedia advertising systems for virtual product placement.

Author(s):  
Rafi Shaik ◽  
H. Surya Prakash Rao

: Hydroxychloroquine (HCQ) is an extremely important drug used for treatment of various ailments. WHO listed it as one of the essential drugs. Utility of hydroxychloroquine (HCQ) as prophylaxis of COVID19, although debated, is well known. We have reviewed synthetic strategies for industrial and academic synthesis of HCQ and its key intermediates like 4,7-dichloroquinoline (4,7-DCQ) and 2-((4-aminopentyl)(ethyl)amino)ethan-1-ol 9 (aka hydroxynovaldiamine; HNDA). The review is expected to provide the right perspective of the state-of-the-art knowledge in this field so that further developments are possible.


Author(s):  
Elena B. Durán ◽  
Margarita Álvarez

Ubiquitous learning features intuitive ways of identifying appropriate learning collaborators and right learning contents and services at the right place and at the right time. Consequently, there are many aspects that must be considered in designing computing applications that support this kind of learning. In this chapter, ubiquitous learning is introduced and characterized, the challenges that must be faced by those in charge of designing and developing such applications are reviewed, and the state of the art of this recently initiated line of research at the Informatics and Information System Research Institute of the National University of Santiago del Estero are presented. The developments achieved to date as well as the future guidelines are also shown.


2016 ◽  
Vol 26 (2) ◽  
pp. 99
Author(s):  
Juan Pablo Juan Pablo Angelone

Resumen Sostenida particularmente durante la presidencia de Raúl Alfonsín (1983-1989), la “teoría de los dos demonios es considerada la memoria hegemónica-dominante referida a la última dictadura cívico-militar argentina (1976-1983). A su vez, el Informe de la Comisión Nacional sobre la Desaparición de Personas (CONADEP) el “Nunca Más”, suele ser considerado una expresión de dicha memoria. Según nuestra hipótesis, el “Nunca Más” no suscribe la “teoría de los dos demonios” sino una memoria diferente aunque no antitética. El objetivo del presente trabajo consiste en caracterizar ambos conjuntos de representaciones con el fin de señalar las diferencias entre ellos. Nuestro corpus de análisis incluye como fuentes primarias los escritos y declaraciones de Alfonsín relativos al tema así como también el Prólogo del “Nunca Más” presentado en 1984. Dado que la autoría de este último es atribuida a Ernesto Sabato, presidente de la CONADEP, también se consideran algunas declaraciones del mencionado autor. Dichas fuentes primarias son históricamente contextualizadas a partir del uso de fuentes secundarias, dentro de las cuales incluimos el estado del arte relativo a la “teoría de los dos demonios”. Concluimos que si bien el planteo de Alfonsín y el Prólogo original del “Nunca Más” coinciden en el rechazo a la violencia como medio de expresión política, Alfonsín pone en un plano de igualdad a dos actores: el guerrillerismo izquierdista y el golpismo, mientras que el Prólogo critica tres modalidades de violencia: la guerrilla, el terrorismo paraestatal de derecha, actor no mencionado por Alfonsín, y el terrorismo dictatorial.  Between two demons and three violences: Alfonsín’s administration and the senses of the state terrorism memory in contemporary Argentina Abstract  Particularly held during Raul Alfonsín’s presidency (1983 – 1989), “the theory of the two demons” is considered the dominant-hegemonic memory referred to the last Argentine civic-military dictatorship (1976 – 1983). In turn, the report of the National Commission on the Disappearance of Persons (CONADEP)- “Nunca Más” (Never Again) is usually considered an expression of the aforesaid memory. According to our hypothesis, “Nunca Más” does not subscribe to the “theory of the two demons” but to a different memory – though not antithetical. The aim of the current paper consists of characterizing both groups of representations in order to point out the differences between them. Our corpus of analysis includes as main sources Alfonsín’s documents and statements concerned with the issue, as well as the “Nunca Más” prologue, presented in 1984. Some statements of Ernesto Sabato, CONADEP’s president, are also considered due to the fact that the authorship of the latter work mentioned has been attributed to him. Such primary sources are historically contextualized from the use of secondary sources, which within we include the state of the art relative to “the theory of the two demons”. We conclude that even though Alfonsín’s proposal and the original “Nunca Más” prologue coincide in the rejection of violence as a means of political expression, Alfonsín places in an equal position two actors – the left-wing guerrilla and the coup – while the prologue criticizes 3 violence modalities: the guerrilla, the right-wing semi-official terrorism – actor not mentioned by Alfonsín – and the dictatorial terrorism. 


2021 ◽  
Vol 3 ◽  
Author(s):  
Marieke van Erp ◽  
Christian Reynolds ◽  
Diana Maynard ◽  
Alain Starke ◽  
Rebeca Ibáñez Martín ◽  
...  

In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional and sustainability aspects of recipes and food. We present the state-of-the-art and some use cases, followed by a discussion of challenges. Our perspective on addressing these is that while they typically have a technical nature, they nevertheless require an interdisciplinary approach combining natural language processing and artificial intelligence with expert domain knowledge to create practical tools and comprehensive analysis for the food domain.


2020 ◽  
Vol 12 (1) ◽  
pp. 102-111
Author(s):  
Krisztian Buza

AbstractA common assumption about neural networks is that they can learn an appropriate internal representation on their own, see e.g. end-to-end learning. In this work we challenge this assumption. We consider two simple tasks and show that the state-of-the-art training algorithm fails, although the model itself is able to represent an appropriate solution. We will demonstrate that encouraging an appropriate internal representation allows the same model to solve these tasks. While we do not claim that it is impossible to solve these tasks by other means (such as neural networks with more layers), our results illustrate that integration of domain knowledge in form of a desired internal representation may improve the generalization ability of neural networks.


2020 ◽  
Vol 34 (06) ◽  
pp. 9933-9940
Author(s):  
Maurício Cecílio Magnaguagno ◽  
Felipe Meneguzzi

Hierarchical Task Networks (HTN) planning uses a decomposition process guided by domain knowledge to guide search towards a planning task. While many HTN planners allow calls to external processes (e.g. to a simulator interface) during the decomposition process, this is a computationally expensive process, so planner implementations often use such calls in an ad-hoc way using very specialized domain knowledge to limit the number of calls. Conversely, the classical planners that are capable of using external calls (often called semantic attachments) during planning are limited to generating a fixed number of ground operators at problem grounding time. We formalize Semantic Attachments for HTN planning using semi coroutines, allowing such procedurally defined predicates to link the planning process to custom unifications outside of the planner, such as numerical results from a robotics simulator. The resulting planner then uses such coroutines as part of its backtracking mechanism to search through parallel dimensions of the state-space (e.g. through numeric variables). We show empirically that our planner outperforms the state-of-the-art numeric planners in a number of domains using minimal extra domain knowledge.


2016 ◽  
Vol 6 (4) ◽  
pp. 30-50
Author(s):  
Rekha Vaidyanathan ◽  
Sujoy Das ◽  
Namita Srivastava

Query Expansion is the process of selecting relevant words that are closest in meaning and context to that of the keyword(s) of query. In this paper, a statistical method of automatically selecting contextually related words for expansion, after identifying a pattern in their score, is proposed. Words appearing in top 10 relevant document is given a score w.r.t partitions they appear in. Proposed statistical method, identifies a pattern of central tendency in the high scores and selects the right group of words for query expansion. The objective of the method is to keep the expanded query with minimum words (light), and still give statistically significant MAP values compared to the original query. Experimental results show 17-21% improvement of MAP over the original unexpanded query as baseline but achieves a performance similar to that of the state of the art query expansion models - Bo1 and KL. FIRE 2011 Adhoc English and Hindi data for 50 topics each were used for experiments with Terrier as the Retrieval Engine.


Author(s):  
Rekha Vaidyanathan ◽  
Sujoy Das ◽  
Namita Srivastava

Query Expansion is the process of selecting relevant words that are closest in meaning and context to that of the keyword(s) of query. In this paper, a statistical method of automatically selecting contextually related words for expansion, after identifying a pattern in their score, is proposed. Words appearing in top 10 relevant document is given a score w.r.t partitions they appear in. Proposed statistical method, identifies a pattern of central tendency in the high scores and selects the right group of words for query expansion. The objective of the method is to keep the expanded query with minimum words (light), and still give statistically significant MAP values compared to the original query. Experimental results show 17-21% improvement of MAP over the original unexpanded query as baseline but achieves a performance similar to that of the state of the art query expansion models - Bo1 and KL. FIRE 2011 Adhoc English and Hindi data for 50 topics each were used for experiments with Terrier as the Retrieval Engine.


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