Greece

Karydis, Vassilis; Koulouris, Nikolaos

doi:10.1057/9781137028211.0019

Cited by 2 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our previous work [15] spectral-similarity based feature merge was proposed to remove the spectral redundancy. In [2] the extracted features are grouped by Minimum Bounding Rectangles (MBR) and compared with an R*-tree. In [18] the time-series active search scheme is adopted.…”

Section: Acceleration Of Sequence Comparisonmentioning

confidence: 99%

“…Features in a window are summarized by a histogram. Though the number of features can be reduced in [2], [18], sometimes the summarized (grouped) features may not sufficiently discriminate two different signals.…”

Section: Acceleration Of Sequence Comparisonmentioning

confidence: 99%

“…Similar to [5] our retrieval scheme adopts the spectral feature. We would like to avoid exhaustive comparison as suggested by [2], [5], [18]. Compared with [2] and [18] where the feature summary is used to reduce the number of total features, we filter features in the database that are similar to the query by LSH/E2LSH without losing the discriminating capability.…”

Section: Our Workmentioning

confidence: 99%

“…We would like to avoid exhaustive comparison as suggested by [2], [5], [18]. Compared with [2] and [18] where the feature summary is used to reduce the number of total features, we filter features in the database that are similar to the query by LSH/E2LSH without losing the discriminating capability. In comparison with [5] where LSH is also adopted to organize features, we utilize both LSH and E2LSH and report retrieval mechanisms of index-based audio sequences, data organization structure of features as well as recreation and comparison of the feature sequences.…”

Section: Our Workmentioning

confidence: 99%

“…Consequently various indexing structures have been reported in the study of audio retrieval. These include, for example, hierarchical structure [1], R-trees [2], M-trees [3], KD-trees [4], active-search [18], Locality Sensitive Hashing (LSH) [5], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison

Joe

Downie

2008

IEICE Transactions on Information and Systems

View full text Add to dashboard Cite

SUMMARYThis paper investigates suitable indexing techniques to enable efficient content-based audio retrieval in large acoustic databases. To make an index-based retrieval mechanism applicable to audio content, we investigate the design of Locality Sensitive Hashing (LSH) and the partial sequence comparison. We propose a fast and efficient audio retrieval framework of query-by-content and develop an audio retrieval system. Based on this framework, four different audio retrieval schemes, LSH-Dynamic Programming (DP), LSH-Sparse DP (SDP), Exact Euclidian LSH (E2LSH)-DP, E2LSH-SDP, are introduced and evaluated in order to better understand the performance of audio retrieval algorithms. The experimental results indicate that compared with the traditional DP and the other three compititive schemes, E2LSH-SDP exhibits the best tradeoff in terms of the response time, retrieval accuracy and computation cost. key words: indexing, locality-sensitive hashing, content-based audio retrieval, dynamic programming 1. Introduction Content-based audio retrieval is not only a very promising research topic but also one of the main problems, in multimedia information processing. Handling audio sequence data is usually time-consuming due to the high dimensionality of the features, which makes it inconvenient to utilize the potential content-based information retrieval techniques on the Internet or personal media devices. To access a huge mass of audio information efficiently, it is necessary to explore the audio information, facilitate the management of audio data and serve multimedia applications. Consequently various indexing structures have been reported in the study of audio retrieval. These include, for example, hierarchical structure As far as the creation of query-by-content audio retrieval mechanism via indexing techniques is concerned the main challenges are as follows: (1)

show abstract

Section: Acceleration Of Sequence Comparisonmentioning

confidence: 99%

Section: Acceleration Of Sequence Comparisonmentioning

confidence: 99%

Section: Our Workmentioning

confidence: 99%

Section: Our Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison

Joe

Downie

2008

IEICE Transactions on Information and Systems

View full text Add to dashboard Cite

show abstract

Structure of Vanadium Oxosulfato Complexes in V₂O₅−M₂S₂O₇−M₂SO₄ (M = K, Cs) Melts. A High Temperature Spectroscopic Study

2001

View full text Add to dashboard Cite

The V V and V IV oxosulfato complexes formed in V 2 O 5 -M 2 S 2 O 7 -M 2 SO 4 (M ) K, Cs) melts under SO 2 (g) or O 2 (g) atmosphere have been studied by electronic absorption (VIS/NIR) and Raman spectroscopy at 450 °C. VIS/NIR spectra have been obtained at 450 °C for V 2 O 5 -K 2 S 2 O 7 molten mixtures in SO 2 atmosphere (P SO 2 ) 0-1.2 atm). The data are in agreement with the V V T V IV equilibrium: (VO) 2 O(SO 4 ) 4 4-(l) + SO 2 (g) T 2VO(SO 4 ) 2 2-(l) + SO 3 (g). SO 2 does not coordinate to the V V complex but starts significantly to coordinate to V IV for P SO 2 > 0.4 atm according to VO(SO 4 ) 2 2-(l) + SO 2 (g) T VO(SO 4 ) 2 SO 2 2-(l). The Raman spectral features and the exploitation of the relative Raman intensities indicate that the (VO) 2 O(SO 4 ) 4 4dimeric complex unit, possessing a V-O-V bridge, is formed in the V 2 O 5 -M 2 S 2 O 7 binary mixtures. The spectral changes occurring upon interaction of the binary V 2 O 5 -K 2 S 2 O 7 mixtures with SO 2 or addition of M 2 SO 4 to the binary V 2 O 5 -M 2 S 2 O 7 mixtures indicate a cleavage of the V-O-V bridge and formation of the V IV O(SO 4 ) 2 2or V V O 2 (SO 4 ) 2 3monomeric complex units, respectively. The most characteristic bands due to the various complexes in the melts have been assigned. The spectral data are discussed in terms of possible structures. For the first time, high-temperature vibrational spectroscopy has been used to study the structural and vibrational properties of V 2 O 5 -K 2 S 2 O 7 and V 2 O 5 -K 2 S 2 O 7 -K 2 SO 4 melts. The results are valuable for the mechanistic understanding of SO 2 oxidation at the molecular level.

show abstract

Greece

Cited by 2 publications

References 0 publications

Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison

Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison

Structure of Vanadium Oxosulfato Complexes in V₂O₅−M₂S₂O₇−M₂SO₄ (M = K, Cs) Melts. A High Temperature Spectroscopic Study

Contact Info

Product

Resources

About

Greece

Cited by 2 publications

References 0 publications

Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison

Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison

Structure of Vanadium Oxosulfato Complexes in V2O5−M2S2O7−M2SO4 (M = K, Cs) Melts. A High Temperature Spectroscopic Study

Contact Info

Product

Resources

About

Structure of Vanadium Oxosulfato Complexes in V₂O₅−M₂S₂O₇−M₂SO₄ (M = K, Cs) Melts. A High Temperature Spectroscopic Study