Este adosado esta ubicado en la exclusiva comunidad de Es Talaiot en Camp de Mar. Consta de 75 adosados y 4 piscinas comunitarias.
Descubra la experiencia del Fairway Living con las magnificas vistas del adosado al campo de Golf de Andratx.
El adosado conta de 3 habitaciones 2 baños completos uno en suite y un baño de cortesia; Sala Comedor integrada, cocina americana, terraza cubierta exterior rodeada de jardines comunitarios que limitan con el Campo de Golf de Andratx.
ItStream.tv - Nuova Piattaforma streaming tutta italianaAldo Obbiettivo
Con ItStream si può creare una WebTV personale o aziendale per gestire Palinsesti, trasmettere in live gli eventi, caricare video e monetizzare mediante banner pubblicitari.
Este adosado esta ubicado en la exclusiva comunidad de Es Talaiot en Camp de Mar. Consta de 75 adosados y 4 piscinas comunitarias.
Descubra la experiencia del Fairway Living con las magnificas vistas del adosado al campo de Golf de Andratx.
El adosado conta de 3 habitaciones 2 baños completos uno en suite y un baño de cortesia; Sala Comedor integrada, cocina americana, terraza cubierta exterior rodeada de jardines comunitarios que limitan con el Campo de Golf de Andratx.
ItStream.tv - Nuova Piattaforma streaming tutta italianaAldo Obbiettivo
Con ItStream si può creare una WebTV personale o aziendale per gestire Palinsesti, trasmettere in live gli eventi, caricare video e monetizzare mediante banner pubblicitari.
Este taller de manteles londinenses ofrece clases para aprender a bordar manteles de lino con motivos florales tradicionales ingleses. Las clases son los sábados por la mañana y duran 3 horas, donde los estudiantes aprenderán las técnicas básicas de bordado y crearán su propio mantel durante la sesión. El taller proporciona todo el material necesario e invita a todos los interesados en aprender este arte tradicional inglés.
Scl exec summary of training outline info offerMurphyBuchanan
This document outlines a training program to develop customer-facing library staff in supporting patrons to become more digitally active. The program consists of 7 modules that cover topics such as the role of digital champions, importance of digital inclusion, understanding patron needs, key government online services, and referring patrons to additional resources. Upon completing the program, staff will be confident digital champions, knowledgeable about online services, and able to identify appropriate steps to help patrons access information independently online.
Combining Evidence for Cross-language Information RetrievalPetra Galuscakova
System combination has been extensively studied in monolingual information retrieval, but the problem is understudied in cross-language retrieval in which queries are expressed in one language, but documents are written in another. One notable characteristic of cross-language retrieval, however, is the potential for a greater diversity of system design, since translation and retrieval components both exhibit substantial design spaces. Due to the large diversity of the systems in cross-language retrieval, the potential range of combinations is orders of magnitude larger than in monolingual applications.
I show that evidence combination works well in cross-language retrieval, achieving improvements of 40% relative to the best single system. The best results are obtained using post-retrieval evidence combination, which is able to incorporate many diverse high-quality systems. Because hundreds of different systems can be built, the effectiveness of alternative approaches for managing the complexity is also explored. Both system clustering and expert judgment regarding diversity can help to limit the combinatorial growth of time complexity arising when selections among large numbers of systems need to be made.
How can acoustic and visual features be combined with text-based search methods applied on automatic transcripts and subtitles and help to retrieve television content.
Czech Malach Cross-lingual Speech Retrieval Test CollectionPetra Galuscakova
The document summarizes the Czech Malach Cross-lingual Speech Retrieval Test Collection, which contains 353 audio recordings selected from interviews in the USC Shoah Foundation's Visual History Archive. The collection includes automatic transcripts of the interviews in multiple formats, as well as manual topic annotations of segments and metadata. It is intended to help researchers in fields like information retrieval, machine translation, and social studies by providing a test bed for cross-lingual speech retrieval systems.
This document summarizes research on hyperlinking TV content using audio information. The researchers retrieved segments similar to a query segment from television programs using subtitles, transcripts, and metadata. They addressed problems with automatic speech recognition transcripts like restricted vocabulary and lack of reliability by expanding queries and combining transcripts. Acoustic fingerprinting and similarity were also explored but did not improve results due to lack of content in the transcripts. Overall, query and data expansion along with combining transcripts was most effective for hyperlinking TV content using audio information.
Multimodal Features for Search and Hyperlinking of Video ContentPetra Galuscakova
In the talk, I will discuss content-based retrieval in audio-visual collections. I will focus on retrieval of relevant segments of video using a textual query. In addition, I will describe techniques for detecting hyperlinks within audio-visual collections. Our retrieval system ranked first in the MediaEval 2014 Search and Hyperlinking shared task. The experiments were performed on almost 4000 hours of BBC broadcast video.
As the segmentation of the recordings shows to be crucial for high-quality video retrieval and hyperlinking, I will focus on segmentation strategies. I will show the possibility of employment of the prosodic and visual information into the segmentation process. Our decision tree-based segmentation proved to outperform fixed-length segmentation which regularly achieves the best results in the retrieval process. Visual and prosodic similarity are also explored in addition to the hyperlinking based on the subtitles and automatic transcripts. The employment of the visual similarity achieves a constant improvement, while the employment of the prosodic similarity shows a small but promising improvement too.
CUNI at MediaEval 2013 Similar Segments in Social Speech TaskPetra Galuscakova
This document summarizes an approach for identifying similar segments in social speech using machine learning segmentation techniques. It discusses:
1) Creating queries from human transcripts and indexing recordings using an IR platform after preprocessing.
2) Segmenting recordings regularly into overlapping passages or using machine learning classification trees trained on human transcripts to identify segment boundaries.
3) Features and models used for the machine learning segmentation of beginnings and ends of segments.
4) Evaluation results showing regular segmentation on ASR transcripts achieved the overall best performance.
Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visua...Petra Galuscakova
This document summarizes research on using different segmentation strategies for passage retrieval in audio-visual documents. It describes experiments comparing regular window-based segmentation to feature-based segmentation using machine learning. Feature-based segmentation outperformed regular segmentation on two benchmark tasks, retrieving similar segments from social speech interviews and searching/hyperlinking TV programs. While results were clearer for the interview data, some feature-based approaches also showed promise for the TV program data when applied to subtitles. Overall, the research suggests feature-based segmentation can improve passage retrieval over simple windowing approaches.
Este taller de manteles londinenses ofrece clases para aprender a bordar manteles de lino con motivos florales tradicionales ingleses. Las clases son los sábados por la mañana y duran 3 horas, donde los estudiantes aprenderán las técnicas básicas de bordado y crearán su propio mantel durante la sesión. El taller proporciona todo el material necesario e invita a todos los interesados en aprender este arte tradicional inglés.
Scl exec summary of training outline info offerMurphyBuchanan
This document outlines a training program to develop customer-facing library staff in supporting patrons to become more digitally active. The program consists of 7 modules that cover topics such as the role of digital champions, importance of digital inclusion, understanding patron needs, key government online services, and referring patrons to additional resources. Upon completing the program, staff will be confident digital champions, knowledgeable about online services, and able to identify appropriate steps to help patrons access information independently online.
Combining Evidence for Cross-language Information RetrievalPetra Galuscakova
System combination has been extensively studied in monolingual information retrieval, but the problem is understudied in cross-language retrieval in which queries are expressed in one language, but documents are written in another. One notable characteristic of cross-language retrieval, however, is the potential for a greater diversity of system design, since translation and retrieval components both exhibit substantial design spaces. Due to the large diversity of the systems in cross-language retrieval, the potential range of combinations is orders of magnitude larger than in monolingual applications.
I show that evidence combination works well in cross-language retrieval, achieving improvements of 40% relative to the best single system. The best results are obtained using post-retrieval evidence combination, which is able to incorporate many diverse high-quality systems. Because hundreds of different systems can be built, the effectiveness of alternative approaches for managing the complexity is also explored. Both system clustering and expert judgment regarding diversity can help to limit the combinatorial growth of time complexity arising when selections among large numbers of systems need to be made.
How can acoustic and visual features be combined with text-based search methods applied on automatic transcripts and subtitles and help to retrieve television content.
Czech Malach Cross-lingual Speech Retrieval Test CollectionPetra Galuscakova
The document summarizes the Czech Malach Cross-lingual Speech Retrieval Test Collection, which contains 353 audio recordings selected from interviews in the USC Shoah Foundation's Visual History Archive. The collection includes automatic transcripts of the interviews in multiple formats, as well as manual topic annotations of segments and metadata. It is intended to help researchers in fields like information retrieval, machine translation, and social studies by providing a test bed for cross-lingual speech retrieval systems.
This document summarizes research on hyperlinking TV content using audio information. The researchers retrieved segments similar to a query segment from television programs using subtitles, transcripts, and metadata. They addressed problems with automatic speech recognition transcripts like restricted vocabulary and lack of reliability by expanding queries and combining transcripts. Acoustic fingerprinting and similarity were also explored but did not improve results due to lack of content in the transcripts. Overall, query and data expansion along with combining transcripts was most effective for hyperlinking TV content using audio information.
Multimodal Features for Search and Hyperlinking of Video ContentPetra Galuscakova
In the talk, I will discuss content-based retrieval in audio-visual collections. I will focus on retrieval of relevant segments of video using a textual query. In addition, I will describe techniques for detecting hyperlinks within audio-visual collections. Our retrieval system ranked first in the MediaEval 2014 Search and Hyperlinking shared task. The experiments were performed on almost 4000 hours of BBC broadcast video.
As the segmentation of the recordings shows to be crucial for high-quality video retrieval and hyperlinking, I will focus on segmentation strategies. I will show the possibility of employment of the prosodic and visual information into the segmentation process. Our decision tree-based segmentation proved to outperform fixed-length segmentation which regularly achieves the best results in the retrieval process. Visual and prosodic similarity are also explored in addition to the hyperlinking based on the subtitles and automatic transcripts. The employment of the visual similarity achieves a constant improvement, while the employment of the prosodic similarity shows a small but promising improvement too.
CUNI at MediaEval 2013 Similar Segments in Social Speech TaskPetra Galuscakova
This document summarizes an approach for identifying similar segments in social speech using machine learning segmentation techniques. It discusses:
1) Creating queries from human transcripts and indexing recordings using an IR platform after preprocessing.
2) Segmenting recordings regularly into overlapping passages or using machine learning classification trees trained on human transcripts to identify segment boundaries.
3) Features and models used for the machine learning segmentation of beginnings and ends of segments.
4) Evaluation results showing regular segmentation on ASR transcripts achieved the overall best performance.
Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visua...Petra Galuscakova
This document summarizes research on using different segmentation strategies for passage retrieval in audio-visual documents. It describes experiments comparing regular window-based segmentation to feature-based segmentation using machine learning. Feature-based segmentation outperformed regular segmentation on two benchmark tasks, retrieving similar segments from social speech interviews and searching/hyperlinking TV programs. While results were clearer for the interview data, some feature-based approaches also showed promise for the TV program data when applied to subtitles. Overall, the research suggests feature-based segmentation can improve passage retrieval over simple windowing approaches.
Application of Topic Segmentation in Audiovisual Information RetrievalPetra Galuscakova
This document discusses various approaches to topic segmentation in audiovisual documents. It describes lexical cohesion-based methods like TextTiling and C99, as well as feature-based methods that use lexical, syntactic, prosodic, and visual features. It also covers segmentation of audio data using prosodic cues and segmentation of video data using visual similarity metrics. Finally, it discusses fusion approaches that combine information from multiple modalities for topic segmentation.
Penalty Functions for Evaluation Measures of Unsegmented Speech RetrievalPetra Galuscakova
The document discusses evaluation methods for unsegmented speech retrieval and proposes modifications to the mean generalized average precision (mGAP) measure. It summarizes research that studied user behavior in a simulated retrieval task to navigate audio recordings and identify relevant passages. The study found that users prefer playback points before true starting points and are tolerant of points up to 1-2 minutes away. Based on these results, the document proposes modifications to the penalty function used in mGAP to give higher reward for points before passages and maintain reward within 1-2 minutes of true starting points. A comparison showed the modified function correlates highly with scores from the original measure.
Penalty Functions for Evaluation Measures of Unsegmented Speech Retrieval
Evaluácia tematického vyhľadávania v audiovizuálnych nahrávkach
1. Evaluácia tematického vyhľadávania
v audiovizuálnych nahrávkach
Mgr. Petra Galuščáková
Ústav formální a aplikované lingvistiky
Matematicko-fyzikální fakulta
Univerzita Karlova v Praze
27. 1. 2014
2. Tématická anotácia archívu
Malach
● 357 českých nahrávok z archívu Malach
● Vyznačené boli úseky v ktorých sa hovorí o vybranej téme
● Manuálne anotácie
● Vybrané témy (116 tém), podrobne definované
– Napr. Detské umění v Terezíne, Židovské děti na
školách, Kolaborace místních obyvatel
● Anotátori naštudovali témy, počúvali nahrávky a
označovali relevantné useky vo výpovediach
● Spolu 5436 anotovaných segmentov
3. Ukážka anotovaných tém
Názov
témy
Description Narrator
Hudba v
holokaustu
Svědectví o tom, zda
hudba pomáhala
(duševně nebo i jinak)
nebo překážela vězňům
internovaným v
koncentračních táborech.
Popis toho, jakou roli hrála
hudba v životě vězňů.
Posilování
víry
Posilování náboženské
víry jako důsledek
holokaustu.
Většina Židů, kteří byli před
příchodem do tábora silně
nábožensky založení, ztratila v
důsledku svých zážitků svou víru
v Boha. Hledáme opačné
případy: lidi, jejichž víra byla v
důsledku zážitků posílena.
4. Tématické vyhľadávanie
● Máme:
● Kolekciu audio alebo audio-vizuálnych
dokumentov
● Tému
● Chceme:
● Dokument, ktorý tému obsahuje
● Presne označený relevantný úsek v dokumente
(začiatok úseku)
5. Speech Retrieval
● Information Retrieval (IR) sa zaoberá vyhľadávaním určitých
materiálov (väčšinou dokumentov), ktoré majú neštrukturovanú
podobu (teda sú to väčšinou texty) a ktoré napĺňajú nejakú
potrebu získania informácií vo veľkej skupine dát (ktorá je
väčšinou uložená na počítači) na základe používateľom zadanej
požiadavky*
● Speech Retrieval je špeciálny prípad IR, pri ktorom sú
dokumenty v hovorenej podobe
● Keyword spotting sa líši od Speech Retrieval – hľadanie výskytov
slova v prepisoch
* Manning, C. D. , Raghavan, P. Schütze, H: Introduction to Information Retrieval, New
York, NY, USA , Cambridge University Press, 2008
6. Vyhodnotenie vyhľadávania
dokumentov
● Precision = počet relevantných vrátených
dokumentov / počet všetkých vrátených
dokumentov
● Recall = počet relevantných vrátených
dokumentov / počet všetkých
relevantných dokumentov
● Average Precision - aritmetický priemer
hodnôt precision. Počíta sa pre každý
nový relevantný dokument, ktorý
vyhľadávací systém vráti.
● Mean Average Precision - priemer
hodnôt Average Precision pre množinu
zadaných požiadaviek
7. Vyhodnotenie vyhľadávania
relevantných segmentov
● Prevod na vyhľadávanie dokumentov
● Rozdelíme nahrávku na segmenty a k tým pristupujeme ako
ku dokumentom v predchádzajúcom prípade
● Metrika mGAP
● Nahrávky nemusia byť segmentované
● Kombinuje relevantnosť vyhľadaných dokumentov a
presnosť odpovedí systému
● Začiatok nájdeného segmentu nesmie byť príliš vzdialený od
začiatku relevantného segmentu
– Kvalita vyhľadávacieho systému závisí na vzdialenosti
týchto dvoch bodov
● Vhodný pre audio-vizuálne vyhľadávacie systémy
8. Metrika mGAP
● Kvalita vyhľadávacieho systému závisí na vzdialenosti
začiatku relevantného segmentu a začiatku nájdeného
segmentu
● Je určená pomocou penalizačnej funkcie
9. Ciele práce
● Overiť vhodnosť použitia metriky mGAP
● Často používaná, ale neexistuje žiadne overenie,
že mGAP zodpovedá správaniu ľudí
● Tvar funkcie – napr. symetria
● Šírka okna – od akej vzdialenosti je nájdený
segment nerelevantný?
● Ak to je potrebné, upraviť penalizačnú
funkciu
10. Postup práce I
● Užívateľský prieskum
● Ako užívatelia vnímajú rôzne postavenie nájdeného
segmentu vzhľadom na relevantný začiatok
segmentu?
● Špeciálne upravený prehrávač dát
● Dáta z projektu Malach – ručne anotované začiatky
tém
● Simulácia vyhľadávacích systémov
– Náhodne generované body namiesto reálnych odpovedí
vyhľadávacieho systému (playback point)
11. Postup práce II
● Užívateľom sme predložili playback point
(simulovaný začiatok)
● Blízko pri ručne označenom začiatku relevantného
segmentu
● Užívatelia sa pohybovali v nahrávke a označili
bod, kde relevantný úsek začína podľa nich
● Merali sme ako rýchlo boli schopní tento bod určiť
● Následne určili ako boli s vyhľadaným (simulovaným)
bodom spokojní
13. Užívateľský prieskum
Priebeh prieskumu 3. 3. 2011 - 18. 3. 2011
Počet účastníkov 24
Počet získaných hodnotení 263
Priemerný počet hodnotení na
jedného užívateľa
11
Priemerný čas strávený jedným
užívateľom pri prieskume
59,95 min
14. Výsledky prieskumu –
rýchlosť hodnotenia
● Čas od spustenia prehrávania do času keď užívateľ označí
začiatok relevantného úseku
● Užívatelia označia začiatok rýchlejšie keď sa playback point
nachádza pred začiatkom relevantného segmentu
15. Výsledky prieskumu –
subjektívne hodnotenie
● Užívatelia označili, ako sú spokojní so simulovaným
začiatkom segmentu
● Najspokojnejší sú keď playback point leží blízko pred
začiatkom relevantného segmentu, ale funkcia klesá
pomalšie keď playback point leží za začiatkom relevantného
segmentu
16. Výsledky prieskumu - závery
● Užívatelia preferujú začiatky vyhľadané pred
skutočnými začiatkami tém
→ penalizačná funkcia je asymetrická
● Ak je vyhľadaný bod vzdialený nanajvýš minútu od
začiatku témy, nemá to vplyv na kvalitu vyhľadávania
→ tieto body by nemali byť penalizované
● Užívatelia sú ochotní hľadať začiatok témy aj v
prípadoch, keď je vyhľadaný bod vo väčšej
vzdialenosti od začiatku témy
→ penalizačná funkcia by mala byť širšia
19. Záver
● Vyhľadávanie relevantného segmentu v audio-
vizuálnych nahrávkach
● Vyhodnotenie vyhľadávania: metrika mGAP
● Chýbajúce empirické výskumy v tejto oblasti
● Vyhodnotenie správania užívateľov vyhľadávacích
systémov
● Na kolekcii Malach
● Metrika mGAP koreluje so správaním respondentov, je
vyhovujúca
... ale môže byť ďalej vylepšená